Profiling Report

Dataset statistics

Number of variables	55
Number of observations	10000
Missing cells	148108
Missing cells (%)	26.9%
Duplicate rows	9
Duplicate rows (%)	0.1%
Total size in memory	4.1 MiB
Average record size in memory	433.0 B

Variable types

Numeric	9
DateTime	1
Text	12
Categorical	31
Boolean	2

Alerts

`AADHAR VERIFIED` has constant value "False"	Constant
`MOBILE VERIFICATION` has constant value "True"	Constant
`Phone Social Premium.a23games` has constant value "0.0"	Constant
`Phone Social Premium.my11` has constant value "0.0"	Constant
`Phone Social Premium.rummycircle` has constant value "0.0"	Constant
`Phone Social Premium.yatra` has constant value "0.0"	Constant
Dataset has 9 (0.1%) duplicate rows	Duplicates
`ADDRESS TYPE` is highly overall correlated with `Application Status`	High correlation
`AGE` is highly overall correlated with `MARITAL STATUS`	High correlation
`APPLIED AMOUNT` is highly overall correlated with `TOTAL ASSET COST`	High correlation
`ASSET CTG` is highly overall correlated with `Application Status` and 1 other fields	High correlation
`Application Status` is highly overall correlated with `ADDRESS TYPE` and 2 other fields	High correlation
`EMPLOY CONSTITUTION` is highly overall correlated with `EMPLOYER TYPE`	High correlation
`EMPLOYER TYPE` is highly overall correlated with `EMPLOY CONSTITUTION`	High correlation
`MARITAL STATUS` is highly overall correlated with `AGE`	High correlation
`PRIMARY ASSET MAKE` is highly overall correlated with `ASSET CTG`	High correlation
`Phone Social Premium.microsoft` is highly overall correlated with `Phone Social Premium.skype`	High correlation
`Phone Social Premium.skype` is highly overall correlated with `Phone Social Premium.microsoft`	High correlation
`TOTAL ASSET COST` is highly overall correlated with `APPLIED AMOUNT` and 1 other fields	High correlation
`Phone Social Premium.housing` is highly imbalanced (66.0%)	Imbalance
`Phone Social Premium.indiamart` is highly imbalanced (90.0%)	Imbalance
`Phone Social Premium.instagram` is highly imbalanced (57.5%)	Imbalance
`Phone Social Premium.isWABusiness` is highly imbalanced (55.6%)	Imbalance
`Phone Social Premium.jeevansaathi` is highly imbalanced (71.1%)	Imbalance
`Phone Social Premium.shaadi` is highly imbalanced (87.3%)	Imbalance
`Phone Social Premium.zoho` is highly imbalanced (99.3%)	Imbalance
`HDB BRANCH STATE` has 854 (8.5%) missing values	Missing
`MIDDLE NAME` has 7145 (71.5%) missing values	Missing
`LAST NAME` has 681 (6.8%) missing values	Missing
`Cibil Score` has 4297 (43.0%) missing values	Missing
`TOTAL ASSET COST` has 5108 (51.1%) missing values	Missing
`ASSET CTG` has 5108 (51.1%) missing values	Missing
`MARITAL STATUS` has 4894 (48.9%) missing values	Missing
`ADDRESS TYPE` has 3312 (33.1%) missing values	Missing
`EMPLOY CONSTITUTION` has 4998 (50.0%) missing values	Missing
`EMPLOYER NAME` has 5010 (50.1%) missing values	Missing
`EMPLOYER TYPE` has 4998 (50.0%) missing values	Missing
`Pan Name` has 1053 (10.5%) missing values	Missing
`vpa` has 2787 (27.9%) missing values	Missing
`upi_name` has 2789 (27.9%) missing values	Missing
`Phone Social Premium.a23games` has 9999 (> 99.9%) missing values	Missing
`Phone Social Premium.amazon` has 1916 (19.2%) missing values	Missing
`Phone Social Premium.byjus` has 1948 (19.5%) missing values	Missing
`Phone Social Premium.flipkart` has 1832 (18.3%) missing values	Missing
`Phone Social Premium.housing` has 1776 (17.8%) missing values	Missing
`Phone Social Premium.indiamart` has 1775 (17.8%) missing values	Missing
`Phone Social Premium.instagram` has 6630 (66.3%) missing values	Missing
`Phone Social Premium.isWABusiness` has 8427 (84.3%) missing values	Missing
`Phone Social Premium.jeevansaathi` has 1829 (18.3%) missing values	Missing
`Phone Social Premium.jiomart` has 9590 (95.9%) missing values	Missing
`Phone Social Premium.microsoft` has 1872 (18.7%) missing values	Missing
`Phone Social Premium.my11` has 9998 (> 99.9%) missing values	Missing
`Phone Social Premium.paytm` has 1757 (17.6%) missing values	Missing
`Phone Social Premium.rummycircle` has 9999 (> 99.9%) missing values	Missing
`Phone Social Premium.shaadi` has 1779 (17.8%) missing values	Missing
`Phone Social Premium.skype` has 1785 (17.8%) missing values	Missing
`Phone Social Premium.toi` has 1943 (19.4%) missing values	Missing
`Phone Social Premium.whatsapp` has 8427 (84.3%) missing values	Missing
`Phone Social Premium.yatra` has 9991 (99.9%) missing values	Missing
`Phone Social Premium.zoho` has 1782 (17.8%) missing values	Missing
`AGE` has 373 (3.7%) zeros	Zeros

Reproduction

Analysis started	2024-09-10 10:04:19.986526
Analysis finished	2024-09-10 10:04:36.434160
Duration	16.45 seconds
Software version	ydata-profiling vv4.10.0
Download configuration	config.json

DEALER ID
Real number (ℝ)

Distinct	2416
Distinct (%)	24.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	102936.46

Minimum	49849
Maximum	202616
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	49849
5-th percentile	64112.75
Q1	79953.75
median	94631
Q3	108463
95-th percentile	197368
Maximum	202616
Range	152767
Interquartile range (IQR)	28509.25

Descriptive statistics

Standard deviation	37830.984
Coefficient of variation (CV)	0.36751783
Kurtosis	1.7396214
Mean	102936.46
Median Absolute Deviation (MAD)	14079
Skewness	1.6187716
Sum	1.0293646 × 10⁹
Variance	1.4311834 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
112006	75	0.8%
88282	51	0.5%
77503	39	0.4%
79245	38	0.4%
94718	37	0.4%
73665	36	0.4%
97418	34	0.3%
79449	34	0.3%
106557	34	0.3%
109236	33	0.3%
Other values (2406)	9589	95.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
49849	9	0.1%
50020	3	< 0.1%
50731	6	0.1%
50826	8	0.1%
51316	10	0.1%
51916	4	< 0.1%
52021	5	0.1%
52355	1	< 0.1%
52358	6	0.1%
52548	1	< 0.1%

Value	Count	Frequency (%)
202616	3	< 0.1%
202611	1	< 0.1%
202551	1	< 0.1%
202548	1	< 0.1%
202493	2	< 0.1%
202490	1	< 0.1%
201875	1	< 0.1%
201872	1	< 0.1%
201871	1	< 0.1%
201869	2	< 0.1%

APPLICATION LOGIN DATE
Date

Distinct	29
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	78.2 KiB

Minimum	2022-07-03 00:00:00
Maximum	2022-07-31 00:00:00

Histogram

Histogram with fixed size bins (bins=29)

HDB BRANCH NAME
Text

Distinct	542
Distinct (%)	5.4%
Missing	1
Missing (%)	< 0.1%
Memory size	78.2 KiB

Length

Max length	21
Median length	18
Mean length	10.608261
Min length	6

Characters and Unicode

Total characters	106072
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	51 ?
Unique (%)	0.5%

Sample

1st row	DELHI-SF
2nd row	PATNA-SF
3rd row	DARJEELING-SF
4th row	SAHARANPUR-SF
5th row	MODASA-SF

Value	Count	Frequency (%)
noida-sf	369	3.5%
delhi-sf	239	2.3%
delhi	234	2.2%
hyderabad-sf	210	2.0%
dehradun-sf	204	1.9%
bangalore-sf	147	1.4%
ghaziabad-sf	144	1.4%
kanpur-sf	135	1.3%
chennai-sf	133	1.3%
bhopal-sf	131	1.2%
Other values (549)	8544	81.4%

Most occurring characters

Value	Count	Frequency (%)
A	15627	14.7%
S	12055	11.4%
F	10480	9.9%
-	9997	9.4%
R	7366	6.9%
H	5164	4.9%
I	5093	4.8%
N	4564	4.3%
D	4395	4.1%
U	3913	3.7%
Other values (17)	27418	25.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	106072	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	15627	14.7%
S	12055	11.4%
F	10480	9.9%
-	9997	9.4%
R	7366	6.9%
H	5164	4.9%
I	5093	4.8%
N	4564	4.3%
D	4395	4.1%
U	3913	3.7%
Other values (17)	27418	25.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	106072	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	15627	14.7%
S	12055	11.4%
F	10480	9.9%
-	9997	9.4%
R	7366	6.9%
H	5164	4.9%
I	5093	4.8%
N	4564	4.3%
D	4395	4.1%
U	3913	3.7%
Other values (17)	27418	25.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	106072	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	15627	14.7%
S	12055	11.4%
F	10480	9.9%
-	9997	9.4%
R	7366	6.9%
H	5164	4.9%
I	5093	4.8%
N	4564	4.3%
D	4395	4.1%
U	3913	3.7%
Other values (17)	27418	25.8%

HDB BRANCH STATE
Categorical

MISSING

Distinct	24
Distinct (%)	0.3%
Missing	854
Missing (%)	8.5%
Memory size	78.2 KiB

UTTAR PRADESH	1981
BIHAR	818
HARYANA	618
MADHYA PRADESH	606
MAHARASHTRA	532
Other values (19)	4591

Length

Max length	16
Median length	13
Mean length	9.5040455
Min length	5

Characters and Unicode

Total characters	86924
Distinct characters	22
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	DELHI
2nd row	BIHAR
3rd row	WEST BENGAL
4th row	UTTAR PRADESH
5th row	GUJARAT

Common Values

Value	Count	Frequency (%)
UTTAR PRADESH	1981	19.8%
BIHAR	818	8.2%
HARYANA	618	6.2%
MADHYA PRADESH	606	6.1%
MAHARASHTRA	532	5.3%
DELHI	511	5.1%
TAMIL NADU	500	5.0%
RAJASTHAN	452	4.5%
JHARKHAND	381	3.8%
UTTARAKHAND	374	3.7%
Other values (14)	2373	23.7%
(Missing)	854	8.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
pradesh	2696	21.2%
uttar	1981	15.6%
bihar	818	6.4%
haryana	618	4.9%
madhya	606	4.8%
maharashtra	532	4.2%
delhi	511	4.0%
tamil	500	3.9%
nadu	500	3.9%
rajasthan	452	3.6%
Other values (17)	3484	27.4%

Most occurring characters

Value	Count	Frequency (%)
A	19778	22.8%
R	9642	11.1%
H	8175	9.4%
T	7537	8.7%
D	5185	6.0%
S	5016	5.8%
E	4453	5.1%
N	3998	4.6%
	3552	4.1%
U	3363	3.9%
Other values (12)	16225	18.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	86924	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	19778	22.8%
R	9642	11.1%
H	8175	9.4%
T	7537	8.7%
D	5185	6.0%
S	5016	5.8%
E	4453	5.1%
N	3998	4.6%
	3552	4.1%
U	3363	3.9%
Other values (12)	16225	18.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	86924	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	19778	22.8%
R	9642	11.1%
H	8175	9.4%
T	7537	8.7%
D	5185	6.0%
S	5016	5.8%
E	4453	5.1%
N	3998	4.6%
	3552	4.1%
U	3363	3.9%
Other values (12)	16225	18.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	86924	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	19778	22.8%
R	9642	11.1%
H	8175	9.4%
T	7537	8.7%
D	5185	6.0%
S	5016	5.8%
E	4453	5.1%
N	3998	4.6%
	3552	4.1%
U	3363	3.9%
Other values (12)	16225	18.7%

FIRST NAME
Text

Distinct	4463
Distinct (%)	44.6%
Missing	0
Missing (%)	0.0%
Memory size	78.2 KiB

Length

Max length	30
Median length	26
Mean length	6.4223
Min length	3

Characters and Unicode

Total characters	64223
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3258 ?
Unique (%)	32.6%

Sample

1st row	SUNIL
2nd row	AMRIT
3rd row	ANIMESH
4th row	ADITYA
5th row	PARMAR

Value	Count	Frequency (%)
mohd	202	2.0%
mohammad	149	1.5%
rahul	65	0.7%
sunil	61	0.6%
amit	56	0.6%
ram	56	0.6%
anil	54	0.5%
sanjay	52	0.5%
mukesh	51	0.5%
santosh	50	0.5%
Other values (4453)	9204	92.0%

Most occurring characters

Value	Count	Frequency (%)
A	12842	20.0%
H	4880	7.6%
N	4706	7.3%
R	4634	7.2%
I	4409	6.9%
S	4388	6.8%
M	3680	5.7%
E	3558	5.5%
D	2758	4.3%
U	2683	4.2%
Other values (16)	15685	24.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	64223	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	12842	20.0%
H	4880	7.6%
N	4706	7.3%
R	4634	7.2%
I	4409	6.9%
S	4388	6.8%
M	3680	5.7%
E	3558	5.5%
D	2758	4.3%
U	2683	4.2%
Other values (16)	15685	24.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	64223	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	12842	20.0%
H	4880	7.6%
N	4706	7.3%
R	4634	7.2%
I	4409	6.9%
S	4388	6.8%
M	3680	5.7%
E	3558	5.5%
D	2758	4.3%
U	2683	4.2%
Other values (16)	15685	24.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	64223	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	12842	20.0%
H	4880	7.6%
N	4706	7.3%
R	4634	7.2%
I	4409	6.9%
S	4388	6.8%
M	3680	5.7%
E	3558	5.5%
D	2758	4.3%
U	2683	4.2%
Other values (16)	15685	24.4%

MIDDLE NAME
Text

MISSING

Distinct	1264
Distinct (%)	44.3%
Missing	7145
Missing (%)	71.5%
Memory size	78.2 KiB

Length

Max length	20
Median length	18
Mean length	5.4658494
Min length	1

Characters and Unicode

Total characters	15605
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	990 ?
Unique (%)	34.7%

Sample

1st row	HARESHBHAI
2nd row	ABDUL
3rd row	MOHD
4th row	PANJAB
5th row	K

Value	Count	Frequency (%)
kumar	514	18.0%
so	101	3.5%
singh	96	3.4%
ram	43	1.5%
k	32	1.1%
prasad	31	1.1%
lal	26	0.9%
prakash	19	0.7%
chandra	18	0.6%
s	17	0.6%
Other values (1254)	1958	68.6%

Most occurring characters

Value	Count	Frequency (%)
A	3238	20.7%
R	1509	9.7%
M	1147	7.4%
H	1106	7.1%
S	944	6.0%
K	931	6.0%
U	927	5.9%
N	917	5.9%
I	841	5.4%
D	584	3.7%
Other values (16)	3461	22.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	15605	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	3238	20.7%
R	1509	9.7%
M	1147	7.4%
H	1106	7.1%
S	944	6.0%
K	931	6.0%
U	927	5.9%
N	917	5.9%
I	841	5.4%
D	584	3.7%
Other values (16)	3461	22.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	15605	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	3238	20.7%
R	1509	9.7%
M	1147	7.4%
H	1106	7.1%
S	944	6.0%
K	931	6.0%
U	927	5.9%
N	917	5.9%
I	841	5.4%
D	584	3.7%
Other values (16)	3461	22.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	15605	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	3238	20.7%
R	1509	9.7%
M	1147	7.4%
H	1106	7.1%
S	944	6.0%
K	931	6.0%
U	927	5.9%
N	917	5.9%
I	841	5.4%
D	584	3.7%
Other values (16)	3461	22.2%

LAST NAME
Text

MISSING

Distinct	3101
Distinct (%)	33.3%
Missing	681
Missing (%)	6.8%
Memory size	78.2 KiB

Length

Max length	30
Median length	27
Mean length	5.7581286
Min length	1

Characters and Unicode

Total characters	53660
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2341 ?
Unique (%)	25.1%

Sample

1st row	CHANDER
2nd row	KUMAR
3rd row	THAPA
4th row	SINGH
5th row	AMRUTBHAI

Value	Count	Frequency (%)
singh	874	9.4%
kumar	718	7.7%
yadav	185	2.0%
khan	173	1.9%
ram	160	1.7%
sharma	147	1.6%
ali	144	1.5%
devi	131	1.4%
lal	127	1.4%
ansari	88	0.9%
Other values (3091)	6572	70.5%

Most occurring characters

Value	Count	Frequency (%)
A	11417	21.3%
H	4400	8.2%
R	4250	7.9%
I	3851	7.2%
N	3617	6.7%
S	3570	6.7%
M	2989	5.6%
K	2295	4.3%
U	2271	4.2%
D	2085	3.9%
Other values (16)	12915	24.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	53660	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	11417	21.3%
H	4400	8.2%
R	4250	7.9%
I	3851	7.2%
N	3617	6.7%
S	3570	6.7%
M	2989	5.6%
K	2295	4.3%
U	2271	4.2%
D	2085	3.9%
Other values (16)	12915	24.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	53660	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	11417	21.3%
H	4400	8.2%
R	4250	7.9%
I	3851	7.2%
N	3617	6.7%
S	3570	6.7%
M	2989	5.6%
K	2295	4.3%
U	2271	4.2%
D	2085	3.9%
Other values (16)	12915	24.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	53660	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	11417	21.3%
H	4400	8.2%
R	4250	7.9%
I	3851	7.2%
N	3617	6.7%
S	3570	6.7%
M	2989	5.6%
K	2295	4.3%
U	2271	4.2%
D	2085	3.9%
Other values (16)	12915	24.1%

mobile
Real number (ℝ)

Distinct	9772
Distinct (%)	97.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.6300413 × 10⁹

Minimum	6.0000422 × 10⁹
Maximum	9.9999771 × 10⁹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	6.0000422 × 10⁹
5-th percentile	6.3759853 × 10⁹
Q1	7.8948576 × 10⁹
median	8.8673766 × 10⁹
Q3	9.588181 × 10⁹
95-th percentile	9.9354016 × 10⁹
Maximum	9.9999771 × 10⁹
Range	3.9999349 × 10⁹
Interquartile range (IQR)	1.6933234 × 10⁹

Descriptive statistics

Standard deviation	1.0777173 × 10⁹
Coefficient of variation (CV)	0.12487974
Kurtosis	-0.5789721
Mean	8.6300413 × 10⁹
Median Absolute Deviation (MAD)	8.0519667 × 10⁸
Skewness	-0.64410529
Sum	8.6300413 × 10¹³
Variance	1.1614745 × 10¹⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9813642304	4	< 0.1%
9771931048	4	< 0.1%
8590213895	4	< 0.1%
6397903454	3	< 0.1%
9548185517	3	< 0.1%
9883872142	3	< 0.1%
7248847715	3	< 0.1%
9534011151	3	< 0.1%
8470999891	3	< 0.1%
8121405424	3	< 0.1%
Other values (9762)	9967	99.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6000042231	1	< 0.1%
6000124521	1	< 0.1%
6000517400	1	< 0.1%
6000572890	1	< 0.1%
6000753702	1	< 0.1%
6000783846	1	< 0.1%
6000784648	1	< 0.1%
6000811584	1	< 0.1%
6000841988	1	< 0.1%
6000986436	1	< 0.1%

Value	Count	Frequency (%)
9999977149	1	< 0.1%
9999943673	1	< 0.1%
9999918919	1	< 0.1%
9999904369	1	< 0.1%
9999865901	1	< 0.1%
9999847408	1	< 0.1%
9999825497	1	< 0.1%
9999785655	1	< 0.1%
9999783428	1	< 0.1%
9999656302	1	< 0.1%

AADHAR VERIFIED
Boolean

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.9 KiB

False	10000

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	10000	100.0%

Cibil Score
Text

MISSING

Distinct	267
Distinct (%)	4.7%
Missing	4297
Missing (%)	43.0%
Memory size	78.2 KiB

Length

Max length	11
Median length	3
Mean length	3.041031
Min length	1

Characters and Unicode

Total characters	17343
Distinct characters	18
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	15 ?
Unique (%)	0.3%

Sample

1st row	726
2nd row	737
3rd row	713
4th row	669
5th row	762

Value	Count	Frequency (%)
752	105	1.8%
726	91	1.6%
743	88	1.5%
746	87	1.5%
767	81	1.4%
753	74	1.3%
744	72	1.3%
734	70	1.2%
546	70	1.2%
754	66	1.2%
Other values (258)	4930	86.0%

Most occurring characters

Value	Count	Frequency (%)
7	4763	27.5%
6	3022	17.4%
5	1798	10.4%
4	1345	7.8%
3	1216	7.0%
2	1147	6.6%
8	1050	6.1%
1	967	5.6%
0	906	5.2%
9	781	4.5%
Other values (8)	348	2.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	17343	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
7	4763	27.5%
6	3022	17.4%
5	1798	10.4%
4	1345	7.8%
3	1216	7.0%
2	1147	6.6%
8	1050	6.1%
1	967	5.6%
0	906	5.2%
9	781	4.5%
Other values (8)	348	2.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	17343	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
7	4763	27.5%
6	3022	17.4%
5	1798	10.4%
4	1345	7.8%
3	1216	7.0%
2	1147	6.6%
8	1050	6.1%
1	967	5.6%
0	906	5.2%
9	781	4.5%
Other values (8)	348	2.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	17343	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
7	4763	27.5%
6	3022	17.4%
5	1798	10.4%
4	1345	7.8%
3	1216	7.0%
2	1147	6.6%
8	1050	6.1%
1	967	5.6%
0	906	5.2%
9	781	4.5%
Other values (8)	348	2.0%

MOBILE VERIFICATION
Boolean

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.9 KiB

True	10000

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
True	10000	100.0%

DEALER NAME
Text

Distinct	2412
Distinct (%)	24.1%
Missing	4
Missing (%)	< 0.1%
Memory size	78.2 KiB

Length

Max length	35
Median length	30
Mean length	29.505102
Min length	15

Characters and Unicode

Total characters	294933
Distinct characters	40
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	748 ?
Unique (%)	7.5%

Sample

1st row	V D AUTO WHEELS CHHOTIAL
2nd row	CHANDAN AUTOMOBILES 259 KGS TOWER
3rd row	KN VISION 53HILL CART ROAD
4th row	MAHADEV AUTOMOBILES MANGLAUR
5th row	DWARKESH AUTO SHAMLAJI ROAD

Value	Count	Frequency (%)
motors	3146	6.6%
automobiles	2268	4.7%
road	1918	4.0%
p	1526	3.2%
l	1481	3.1%
auto	1402	2.9%
ltd	639	1.3%
pvt	616	1.3%
rd	580	1.2%
nagar	535	1.1%
Other values (3921)	33764	70.5%

Most occurring characters

Value	Count	Frequency (%)
	37891	12.8%
A	37843	12.8%
O	23047	7.8%
R	21356	7.2%
S	18463	6.3%
T	17016	5.8%
I	16272	5.5%
E	14379	4.9%
M	12793	4.3%
L	12472	4.2%
Other values (30)	83401	28.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	294933	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	37891	12.8%
A	37843	12.8%
O	23047	7.8%
R	21356	7.2%
S	18463	6.3%
T	17016	5.8%
I	16272	5.5%
E	14379	4.9%
M	12793	4.3%
L	12472	4.2%
Other values (30)	83401	28.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	294933	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	37891	12.8%
A	37843	12.8%
O	23047	7.8%
R	21356	7.2%
S	18463	6.3%
T	17016	5.8%
I	16272	5.5%
E	14379	4.9%
M	12793	4.3%
L	12472	4.2%
Other values (30)	83401	28.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	294933	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	37891	12.8%
A	37843	12.8%
O	23047	7.8%
R	21356	7.2%
S	18463	6.3%
T	17016	5.8%
I	16272	5.5%
E	14379	4.9%
M	12793	4.3%
L	12472	4.2%
Other values (30)	83401	28.3%

TOTAL ASSET COST
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	3692
Distinct (%)	75.5%
Missing	5108
Missing (%)	51.1%
Infinite	0
Infinite (%)	0.0%
Mean	97612.518

Minimum	51873
Maximum	241116
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	51873
5-th percentile	77793.25
Q1	88425.5
median	94400
Q3	103499.25
95-th percentile	127658.4
Maximum	241116
Range	189243
Interquartile range (IQR)	15073.75

Descriptive statistics

Standard deviation	16745.027
Coefficient of variation (CV)	0.1715459
Kurtosis	9.5724963
Mean	97612.518
Median Absolute Deviation (MAD)	7141.5
Skewness	2.256537
Sum	4.7752044 × 10⁸
Variance	2.8039593 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
98000	13	0.1%
106500	12	0.1%
98300	11	0.1%
104000	10	0.1%
94000	10	0.1%
90500	9	0.1%
102407	9	0.1%
89500	9	0.1%
89000	8	0.1%
98712	8	0.1%
Other values (3682)	4793	47.9%
(Missing)	5108	51.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
51873	1	< 0.1%
53458	1	< 0.1%
55188	1	< 0.1%
56740	1	< 0.1%
57961	1	< 0.1%
58000	1	< 0.1%
58595	1	< 0.1%
64048	1	< 0.1%
64140	1	< 0.1%
64500	1	< 0.1%

Value	Count	Frequency (%)
241116	1	< 0.1%
231970	1	< 0.1%
222307	1	< 0.1%
217155	1	< 0.1%
216943	1	< 0.1%
212824	1	< 0.1%
210508	1	< 0.1%
205958	1	< 0.1%
200372	1	< 0.1%
200118	1	< 0.1%

ASSET CTG
Categorical

HIGH CORRELATION MISSING

Distinct	13
Distinct (%)	0.3%
Missing	5108
Missing (%)	51.1%
Memory size	78.2 KiB

MCECA	1821
SCECA	1227
MCEXA	1186
SCEXA	264
MCPRA	126
Other values (8)	268

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	24460
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	MCEXA
2nd row	SCEXA
3rd row	MCECA
4th row	MCEXA
5th row	MCECA

Common Values

Value	Count	Frequency (%)
MCECA	1821	18.2%
SCECA	1227	12.3%
MCEXA	1186	11.9%
SCEXA	264	2.6%
MCPRA	126	1.3%
MCECB	69	0.7%
MOECA	67	0.7%
MCECC	46	0.5%
MCEXB	28	0.3%
ESECB	25	0.2%
Other values (3)	33	0.3%
(Missing)	5108	51.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
mceca	1821	37.2%
sceca	1227	25.1%
mcexa	1186	24.2%
scexa	264	5.4%
mcpra	126	2.6%
mcecb	69	1.4%
moeca	67	1.4%
mcecc	46	0.9%
mcexb	28	0.6%
esecb	25	0.5%
Other values (3)	33	0.7%

Most occurring characters

Value	Count	Frequency (%)
C	8100	33.1%
E	4801	19.6%
A	4701	19.2%
M	3353	13.7%
S	1539	6.3%
X	1478	6.0%
R	149	0.6%
P	126	0.5%
B	123	0.5%
O	67	0.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	24460	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
C	8100	33.1%
E	4801	19.6%
A	4701	19.2%
M	3353	13.7%
S	1539	6.3%
X	1478	6.0%
R	149	0.6%
P	126	0.5%
B	123	0.5%
O	67	0.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	24460	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
C	8100	33.1%
E	4801	19.6%
A	4701	19.2%
M	3353	13.7%
S	1539	6.3%
X	1478	6.0%
R	149	0.6%
P	126	0.5%
B	123	0.5%
O	67	0.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	24460	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
C	8100	33.1%
E	4801	19.6%
A	4701	19.2%
M	3353	13.7%
S	1539	6.3%
X	1478	6.0%
R	149	0.6%
P	126	0.5%
B	123	0.5%
O	67	0.3%

ASSET MODEL NO
Real number (ℝ)

Distinct	269
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	150660.76

Minimum	124587
Maximum	201897
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	124587
5-th percentile	129101
Q1	139542
median	143238
Q3	160216
95-th percentile	199546
Maximum	201897
Range	77310
Interquartile range (IQR)	20674

Descriptive statistics

Standard deviation	20847.995
Coefficient of variation (CV)	0.13837707
Kurtosis	0.32645714
Mean	150660.76
Median Absolute Deviation (MAD)	8340
Skewness	1.2215523
Sum	1.5066076 × 10⁹
Variance	4.346389 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
143240	706	7.1%
140208	689	6.9%
140212	529	5.3%
199546	519	5.2%
129101	445	4.5%
160832	382	3.8%
129102	327	3.3%
139542	281	2.8%
134121	240	2.4%
143241	239	2.4%
Other values (259)	5643	56.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
124587	8	0.1%
124648	53	0.5%
124649	16	0.2%
124650	172	1.7%
129101	445	4.5%
129102	327	3.3%
129823	7	0.1%
129870	1	< 0.1%
129871	2	< 0.1%
133250	9	0.1%

Value	Count	Frequency (%)
201897	1	< 0.1%
201896	1	< 0.1%
201534	4	< 0.1%
201533	3	< 0.1%
201532	2	< 0.1%
200863	51	0.5%
200862	27	0.3%
200858	1	< 0.1%
200857	5	0.1%
200153	32	0.3%

APPLIED AMOUNT
Real number (ℝ)

HIGH CORRELATION

Distinct	1230
Distinct (%)	12.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	91796.731

Minimum	10400
Maximum	1420000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	10400
5-th percentile	66752.25
Q1	80000
median	90000
Q3	99000
95-th percentile	125000
Maximum	1420000
Range	1409600
Interquartile range (IQR)	19000

Descriptive statistics

Standard deviation	27000.18
Coefficient of variation (CV)	0.29413008
Kurtosis	802.86167
Mean	91796.731
Median Absolute Deviation (MAD)	9000
Skewness	19.395137
Sum	9.179673 × 10⁸
Variance	7.290097 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
90000	852	8.5%
85000	836	8.4%
95000	634	6.3%
80000	593	5.9%
99000	542	5.4%
75000	357	3.6%
70000	270	2.7%
100000	231	2.3%
98000	215	2.1%
99999	188	1.9%
Other values (1220)	5282	52.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10400	1	< 0.1%
10900	1	< 0.1%
11000	1	< 0.1%
12000	1	< 0.1%
20000	2	< 0.1%
21000	1	< 0.1%
25000	3	< 0.1%
30000	4	< 0.1%
32000	1	< 0.1%
35000	2	< 0.1%

Value	Count	Frequency (%)
1420000	1	< 0.1%
1050000	1	< 0.1%
830000	1	< 0.1%
350000	1	< 0.1%
300000	1	< 0.1%
299000	1	< 0.1%
250000	4	< 0.1%
244500	1	< 0.1%
242000	1	< 0.1%
240000	1	< 0.1%

PRIMARY ASSET MAKE
Categorical

HIGH CORRELATION

Distinct	17
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	78.2 KiB

HERO MOTORS	3618
HONDA MOTORS	3259
TVS MOTOR CO	1416
BAJAJ AUTO INDIA	747
SUZUKI MOTORCYCLE	485
Other values (12)	475

Length

Max length	28
Median length	25
Mean length	12.2495
Min length	11

Characters and Unicode

Total characters	122495
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	HONDA MOTORS
2nd row	HERO MOTORS
3rd row	TVS MOTOR CO
4th row	HERO MOTORS
5th row	HONDA MOTORS

Common Values

Value	Count	Frequency (%)
HERO MOTORS	3618	36.2%
HONDA MOTORS	3259	32.6%
TVS MOTOR CO	1416	14.2%
BAJAJ AUTO INDIA	747	7.5%
SUZUKI MOTORCYCLE	485	4.9%
YAMAHA MOTOR	224	2.2%
AMO ELECTRIC	68	0.7%
OKAYA ELECTRIC	49	0.5%
AMPERE MOTORS	26	0.3%
OKINAWA ELECTRIC	26	0.3%
Other values (7)	82	0.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
motors	6909	31.1%
hero	3633	16.3%
honda	3259	14.7%
motor	1640	7.4%
tvs	1416	6.4%
co	1416	6.4%
india	771	3.5%
bajaj	747	3.4%
auto	747	3.4%
suzuki	485	2.2%
Other values (18)	1209	5.4%

Most occurring characters

Value	Count	Frequency (%)
O	27309	22.3%
R	12901	10.5%
	12232	10.0%
T	11408	9.3%
M	9352	7.6%
S	8837	7.2%
A	7224	5.9%
H	7151	5.8%
E	4644	3.8%
N	4102	3.3%
Other values (15)	17335	14.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	122495	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
O	27309	22.3%
R	12901	10.5%
	12232	10.0%
T	11408	9.3%
M	9352	7.6%
S	8837	7.2%
A	7224	5.9%
H	7151	5.8%
E	4644	3.8%
N	4102	3.3%
Other values (15)	17335	14.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	122495	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
O	27309	22.3%
R	12901	10.5%
	12232	10.0%
T	11408	9.3%
M	9352	7.6%
S	8837	7.2%
A	7224	5.9%
H	7151	5.8%
E	4644	3.8%
N	4102	3.3%
Other values (15)	17335	14.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	122495	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
O	27309	22.3%
R	12901	10.5%
	12232	10.0%
T	11408	9.3%
M	9352	7.6%
S	8837	7.2%
A	7224	5.9%
H	7151	5.8%
E	4644	3.8%
N	4102	3.3%
Other values (15)	17335	14.2%

Primary Asset Model No
Text

Distinct	267
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Memory size	78.2 KiB

Length

Max length	35
Median length	29
Mean length	23.7316
Min length	3

Characters and Unicode

Total characters	237316
Distinct characters	41
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	45 ?
Unique (%)	0.4%

Sample

1st row	SHINE DRUM BSVI
2nd row	SPLENDOR PLUS SELF DRUM BSVI I3S
3rd row	TVS NTORQ SUPER SQUAD EDITION BSVI
4th row	SPLENDOR+ BLK ACCT SS DRUM I3S BSVI
5th row	DIO STD BSVI

Value	Count	Frequency (%)
bsvi	8417	17.8%
drum	3338	7.0%
splendor	2376	5.0%
125	1954	4.1%
plus	1944	4.1%
disc	1911	4.0%
self	1710	3.6%
activa	1453	3.1%
start	1429	3.0%
i3s	1271	2.7%
Other values (268)	21613	45.6%

Most occurring characters

Value	Count	Frequency (%)
	37456	15.8%
S	27572	11.6%
I	17894	7.5%
L	12408	5.2%
D	11834	5.0%
E	11647	4.9%
R	11378	4.8%
V	11315	4.8%
B	10940	4.6%
A	10036	4.2%
Other values (31)	74836	31.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	237316	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	37456	15.8%
S	27572	11.6%
I	17894	7.5%
L	12408	5.2%
D	11834	5.0%
E	11647	4.9%
R	11378	4.8%
V	11315	4.8%
B	10940	4.6%
A	10036	4.2%
Other values (31)	74836	31.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	237316	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	37456	15.8%
S	27572	11.6%
I	17894	7.5%
L	12408	5.2%
D	11834	5.0%
E	11647	4.9%
R	11378	4.8%
V	11315	4.8%
B	10940	4.6%
A	10036	4.2%
Other values (31)	74836	31.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	237316	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	37456	15.8%
S	27572	11.6%
I	17894	7.5%
L	12408	5.2%
D	11834	5.0%
E	11647	4.9%
R	11378	4.8%
V	11315	4.8%
B	10940	4.6%
A	10036	4.2%
Other values (31)	74836	31.5%

Personal Email Address
Text

Distinct	6349
Distinct (%)	63.5%
Missing	0
Missing (%)	0.0%
Memory size	78.2 KiB

Length

Max length	40
Median length	35
Mean length	18.7686
Min length	11

Characters and Unicode

Total characters	187686
Distinct characters	53
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5769 ?
Unique (%)	57.7%

Sample

1st row	SUNILSEHRAWAT7355@GMAIL.COM
2nd row	NULL@GMAIL.COM
3rd row	CHETTRIDIKSHA@GMAIL.COM
4th row	ADITYA98@GAMIL.COM
5th row	PARMARHARESHBHAI1989@GMAIL.COM

Value	Count	Frequency (%)
null@gmail.com	934	9.3%
nomail@gmail.com	475	4.8%
null123@gmail.com	168	1.7%
nomail@nomail.com	136	1.4%
nul@gmail.com	106	1.1%
nullmail@gmail.com	92	0.9%
nill@gmail.com	78	0.8%
nil@gmail.com	52	0.5%
abc@gmail.com	45	0.4%
null@hdbfs.com	44	0.4%
Other values (6339)	7870	78.7%

Most occurring characters

Value	Count	Frequency (%)
M	23896	12.7%
A	22689	12.1%
L	16049	8.6%
I	15133	8.1%
O	12392	6.6%
G	10645	5.7%
C	10421	5.6%
.	10257	5.5%
@	10000	5.3%
N	7163	3.8%
Other values (43)	49041	26.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	187686	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
M	23896	12.7%
A	22689	12.1%
L	16049	8.6%
I	15133	8.1%
O	12392	6.6%
G	10645	5.7%
C	10421	5.6%
.	10257	5.5%
@	10000	5.3%
N	7163	3.8%
Other values (43)	49041	26.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	187686	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
M	23896	12.7%
A	22689	12.1%
L	16049	8.6%
I	15133	8.1%
O	12392	6.6%
G	10645	5.7%
C	10421	5.6%
.	10257	5.5%
@	10000	5.3%
N	7163	3.8%
Other values (43)	49041	26.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	187686	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
M	23896	12.7%
A	22689	12.1%
L	16049	8.6%
I	15133	8.1%
O	12392	6.6%
G	10645	5.7%
C	10421	5.6%
.	10257	5.5%
@	10000	5.3%
N	7163	3.8%
Other values (43)	49041	26.1%

MARITAL STATUS
Categorical

HIGH CORRELATION MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	4894
Missing (%)	48.9%
Memory size	78.2 KiB

Married	3833
Single	1273

Length

Max length	7
Median length	7
Mean length	6.7506855
Min length	6

Characters and Unicode

Total characters	34469
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Married
2nd row	Single
3rd row	Single
4th row	Married
5th row	Married

Common Values

Value	Count	Frequency (%)
Married	3833	38.3%
Single	1273	12.7%
(Missing)	4894	48.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
married	3833	75.1%
single	1273	24.9%

Most occurring characters

Value	Count	Frequency (%)
r	7666	22.2%
i	5106	14.8%
e	5106	14.8%
M	3833	11.1%
a	3833	11.1%
d	3833	11.1%
S	1273	3.7%
n	1273	3.7%
g	1273	3.7%
l	1273	3.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	34469	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	7666	22.2%
i	5106	14.8%
e	5106	14.8%
M	3833	11.1%
a	3833	11.1%
d	3833	11.1%
S	1273	3.7%
n	1273	3.7%
g	1273	3.7%
l	1273	3.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	34469	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	7666	22.2%
i	5106	14.8%
e	5106	14.8%
M	3833	11.1%
a	3833	11.1%
d	3833	11.1%
S	1273	3.7%
n	1273	3.7%
g	1273	3.7%
l	1273	3.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	34469	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	7666	22.2%
i	5106	14.8%
e	5106	14.8%
M	3833	11.1%
a	3833	11.1%
d	3833	11.1%
S	1273	3.7%
n	1273	3.7%
g	1273	3.7%
l	1273	3.7%

GENDER
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.2 KiB

Male	8408
Female	1592

Length

Max length	6
Median length	4
Mean length	4.3184
Min length	4

Characters and Unicode

Total characters	43184
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Male
2nd row	Male
3rd row	Male
4th row	Male
5th row	Male

Common Values

Value	Count	Frequency (%)
Male	8408	84.1%
Female	1592	15.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
male	8408	84.1%
female	1592	15.9%

Most occurring characters

Value	Count	Frequency (%)
e	11592	26.8%
a	10000	23.2%
l	10000	23.2%
M	8408	19.5%
F	1592	3.7%
m	1592	3.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	43184	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	11592	26.8%
a	10000	23.2%
l	10000	23.2%
M	8408	19.5%
F	1592	3.7%
m	1592	3.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	43184	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	11592	26.8%
a	10000	23.2%
l	10000	23.2%
M	8408	19.5%
F	1592	3.7%
m	1592	3.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	43184	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	11592	26.8%
a	10000	23.2%
l	10000	23.2%
M	8408	19.5%
F	1592	3.7%
m	1592	3.7%

DOB
Real number (ℝ)

Distinct	4901
Distinct (%)	49.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9813395.7

Minimum	1011943
Maximum	31122001
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	1011943
5-th percentile	1011979
Q1	1012000
median	7112001
Q3	16051967
95-th percentile	27072000
Maximum	31122001
Range	30110058
Interquartile range (IQR)	15039967

Descriptive statistics

Standard deviation	8930653.8
Coefficient of variation (CV)	0.91004725
Kurtosis	-0.71602091
Mean	9813395.7
Median Absolute Deviation (MAD)	6100008
Skewness	0.70120705
Sum	9.8133957 × 10¹⁰
Variance	7.9756577 × 10¹³
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1011996	144	1.4%
1011997	125	1.2%
1011994	117	1.2%
1011995	114	1.1%
1011991	109	1.1%
1011993	105	1.1%
1011990	104	1.0%
1011983	97	1.0%
1011998	96	1.0%
1011988	92	0.9%
Other values (4891)	8897	89.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1011943	1	< 0.1%
1011955	1	< 0.1%
1011959	5	0.1%
1011960	3	< 0.1%
1011961	3	< 0.1%
1011962	6	0.1%
1011963	16	0.2%
1011964	9	0.1%
1011965	19	0.2%
1011966	13	0.1%

Value	Count	Frequency (%)
31122001	1	< 0.1%
31121999	1	< 0.1%
31121998	1	< 0.1%
31121995	2	< 0.1%
31121994	1	< 0.1%
31121993	1	< 0.1%
31121992	1	< 0.1%
31121991	2	< 0.1%
31121990	2	< 0.1%
31121989	1	< 0.1%

AGE
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	54
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	31.7961

Minimum	0
Maximum	79
Zeros	373
Zeros (%)	3.7%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	0
5-th percentile	20
Q1	25
median	31
Q3	39
95-th percentile	51
Maximum	79
Range	79
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	11.202075
Coefficient of variation (CV)	0.3523097
Kurtosis	1.1497785
Mean	31.7961
Median Absolute Deviation (MAD)	7
Skewness	-0.15699199
Sum	317961
Variance	125.48647
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
26	499	5.0%
25	493	4.9%
23	491	4.9%
24	486	4.9%
22	459	4.6%
27	458	4.6%
28	437	4.4%
21	403	4.0%
29	393	3.9%
0	373	3.7%
Other values (44)	5508	55.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	373	3.7%
17	1	< 0.1%
18	12	0.1%
19	19	0.2%
20	105	1.1%
21	403	4.0%
22	459	4.6%
23	491	4.9%
24	486	4.9%
25	493	4.9%

Value	Count	Frequency (%)
79	1	< 0.1%
69	1	< 0.1%
68	1	< 0.1%
67	1	< 0.1%
66	1	< 0.1%
64	2	< 0.1%
63	14	0.1%
62	8	0.1%
61	11	0.1%
60	19	0.2%

ADDRESS TYPE
Categorical

HIGH CORRELATION MISSING

Distinct	12
Distinct (%)	0.2%
Missing	3312
Missing (%)	33.1%
Memory size	78.2 KiB

Self/Spouse Owned	2273
RESIDENCE	2176
Parental	1788
Rented	417
Company Provided	10
Other values (7)	24

Length

Max length	18
Median length	17
Mean length	11.297398
Min length	6

Characters and Unicode

Total characters	75557
Distinct characters	38
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	< 0.1%

Sample

1st row	Parental
2nd row	Self/Spouse Owned
3rd row	Parental
4th row	Rented
5th row	RESIDENCE

Common Values

Value	Count	Frequency (%)
Self/Spouse Owned	2273	22.7%
RESIDENCE	2176	21.8%
Parental	1788	17.9%
Rented	417	4.2%
Company Provided	10	0.1%
PARENT OWNED-HOUSE	9	0.1%
OWNED-BUNGLOW	5	0.1%
OWNED-PENTHOUSE	4	< 0.1%
OWNDED-FLAT	3	< 0.1%
OWNED-ROWHOUSE	1	< 0.1%
Other values (2)	2	< 0.1%
(Missing)	3312	33.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
self/spouse	2273	25.3%
owned	2273	25.3%
residence	2176	24.2%
parental	1788	19.9%
rented	417	4.6%
company	10	0.1%
provided	10	0.1%
parent	10	0.1%
owned-house	9	0.1%
owned-bunglow	5	0.1%
Other values (5)	10	0.1%

Most occurring characters

Value	Count	Frequency (%)
e	9451	12.5%
S	6737	8.9%
E	6582	8.7%
n	4488	5.9%
l	4061	5.4%
a	3586	4.7%
d	2710	3.6%
R	2606	3.4%
O	2318	3.1%
	2293	3.0%
Other values (28)	30725	40.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	75557	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	9451	12.5%
S	6737	8.9%
E	6582	8.7%
n	4488	5.9%
l	4061	5.4%
a	3586	4.7%
d	2710	3.6%
R	2606	3.4%
O	2318	3.1%
	2293	3.0%
Other values (28)	30725	40.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	75557	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	9451	12.5%
S	6737	8.9%
E	6582	8.7%
n	4488	5.9%
l	4061	5.4%
a	3586	4.7%
d	2710	3.6%
R	2606	3.4%
O	2318	3.1%
	2293	3.0%
Other values (28)	30725	40.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	75557	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	9451	12.5%
S	6737	8.9%
E	6582	8.7%
n	4488	5.9%
l	4061	5.4%
a	3586	4.7%
d	2710	3.6%
R	2606	3.4%
O	2318	3.1%
	2293	3.0%
Other values (28)	30725	40.7%

EMPLOY CONSTITUTION
Categorical

HIGH CORRELATION MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	4998
Missing (%)	50.0%
Memory size	78.2 KiB

SELF-EMPLOYED	3472
SALARIED	1530

Length

Max length	13
Median length	13
Mean length	11.470612
Min length	8

Characters and Unicode

Total characters	57376
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	SALARIED
2nd row	SELF-EMPLOYED
3rd row	SELF-EMPLOYED
4th row	SALARIED
5th row	SELF-EMPLOYED

Common Values

Value	Count	Frequency (%)
SELF-EMPLOYED	3472	34.7%
SALARIED	1530	15.3%
(Missing)	4998	50.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
self-employed	3472	69.4%
salaried	1530	30.6%

Most occurring characters

Value	Count	Frequency (%)
E	11946	20.8%
L	8474	14.8%
S	5002	8.7%
D	5002	8.7%
F	3472	6.1%
-	3472	6.1%
M	3472	6.1%
P	3472	6.1%
O	3472	6.1%
Y	3472	6.1%
Other values (3)	6120	10.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	57376	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	11946	20.8%
L	8474	14.8%
S	5002	8.7%
D	5002	8.7%
F	3472	6.1%
-	3472	6.1%
M	3472	6.1%
P	3472	6.1%
O	3472	6.1%
Y	3472	6.1%
Other values (3)	6120	10.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	57376	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	11946	20.8%
L	8474	14.8%
S	5002	8.7%
D	5002	8.7%
F	3472	6.1%
-	3472	6.1%
M	3472	6.1%
P	3472	6.1%
O	3472	6.1%
Y	3472	6.1%
Other values (3)	6120	10.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	57376	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	11946	20.8%
L	8474	14.8%
S	5002	8.7%
D	5002	8.7%
F	3472	6.1%
-	3472	6.1%
M	3472	6.1%
P	3472	6.1%
O	3472	6.1%
Y	3472	6.1%
Other values (3)	6120	10.7%

EMPLOYER NAME
Text

MISSING

Distinct	3694
Distinct (%)	74.0%
Missing	5010
Missing (%)	50.1%
Memory size	78.2 KiB

Length

Max length	60
Median length	48
Mean length	17.331663
Min length	3

Characters and Unicode

Total characters	86485
Distinct characters	68
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3512 ?
Unique (%)	70.4%

Sample

1st row	sehrawat spare parts
2nd row	Thapas shop
3rd row	agriculture farming
4th row	ONE RAJA
5th row	agriculture

Value	Count	Frequency (%)
store	829	6.4%
agriculture	666	5.1%
shop	454	3.5%
ltd	450	3.5%
pvt	386	3.0%
kirana	348	2.7%
general	286	2.2%
work	168	1.3%
and	119	0.9%
milk	113	0.9%
Other values (3990)	9182	70.6%

Most occurring characters

Value	Count	Frequency (%)
	8048	9.3%
a	4636	5.4%
r	4553	5.3%
A	4378	5.1%
e	3727	4.3%
R	3710	4.3%
E	3115	3.6%
t	3024	3.5%
i	2976	3.4%
T	2820	3.3%
Other values (58)	45498	52.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	86485	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	8048	9.3%
a	4636	5.4%
r	4553	5.3%
A	4378	5.1%
e	3727	4.3%
R	3710	4.3%
E	3115	3.6%
t	3024	3.5%
i	2976	3.4%
T	2820	3.3%
Other values (58)	45498	52.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	86485	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	8048	9.3%
a	4636	5.4%
r	4553	5.3%
A	4378	5.1%
e	3727	4.3%
R	3710	4.3%
E	3115	3.6%
t	3024	3.5%
i	2976	3.4%
T	2820	3.3%
Other values (58)	45498	52.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	86485	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	8048	9.3%
a	4636	5.4%
r	4553	5.3%
A	4378	5.1%
e	3727	4.3%
R	3710	4.3%
E	3115	3.6%
t	3024	3.5%
i	2976	3.4%
T	2820	3.3%
Other values (58)	45498	52.6%

EMPLOYER TYPE
Categorical

HIGH CORRELATION MISSING

Distinct	4
Distinct (%)	0.1%
Missing	4998
Missing (%)	50.0%
Memory size	78.2 KiB

SELF-EMPLOYED	3473
SALARIED	1354
Non-Government	152
Government	23

Length

Max length	14
Median length	13
Mean length	11.663135
Min length	8

Characters and Unicode

Total characters	58339
Distinct characters	22
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	SALARIED
2nd row	SELF-EMPLOYED
3rd row	SELF-EMPLOYED
4th row	SALARIED
5th row	SELF-EMPLOYED

Common Values

Value	Count	Frequency (%)
SELF-EMPLOYED	3473	34.7%
SALARIED	1354	13.5%
Non-Government	152	1.5%
Government	23	0.2%
(Missing)	4998	50.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
self-employed	3473	69.4%
salaried	1354	27.1%
non-government	152	3.0%
government	23	0.5%

Most occurring characters

Value	Count	Frequency (%)
E	11773	20.2%
L	8300	14.2%
S	4827	8.3%
D	4827	8.3%
-	3625	6.2%
F	3473	6.0%
M	3473	6.0%
P	3473	6.0%
O	3473	6.0%
Y	3473	6.0%
Other values (12)	7622	13.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	58339	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	11773	20.2%
L	8300	14.2%
S	4827	8.3%
D	4827	8.3%
-	3625	6.2%
F	3473	6.0%
M	3473	6.0%
P	3473	6.0%
O	3473	6.0%
Y	3473	6.0%
Other values (12)	7622	13.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	58339	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	11773	20.2%
L	8300	14.2%
S	4827	8.3%
D	4827	8.3%
-	3625	6.2%
F	3473	6.0%
M	3473	6.0%
P	3473	6.0%
O	3473	6.0%
Y	3473	6.0%
Other values (12)	7622	13.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	58339	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	11773	20.2%
L	8300	14.2%
S	4827	8.3%
D	4827	8.3%
-	3625	6.2%
F	3473	6.0%
M	3473	6.0%
P	3473	6.0%
O	3473	6.0%
Y	3473	6.0%
Other values (12)	7622	13.1%

Pan Name
Text

MISSING

Distinct	7317
Distinct (%)	81.8%
Missing	1053
Missing (%)	10.5%
Memory size	78.2 KiB

Length

Max length	57
Median length	41
Mean length	13.585671
Min length	1

Characters and Unicode

Total characters	121551
Distinct characters	54
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6606 ?
Unique (%)	73.8%

Sample

1st row	SUNIL KUMAR
2nd row	AMRIT KUMAR
3rd row	ANIMESH THAPA
4th row	ADITYA KUMAR
5th row	HARESHBHAI AMRUTBHAI PARMAR

Value	Count	Frequency (%)
kumar	1495	8.0%
singh	644	3.5%
khan	174	0.9%
devi	162	0.9%
mohd	158	0.8%
yadav	146	0.8%
ram	124	0.7%
ali	120	0.6%
mohammad	118	0.6%
sharma	116	0.6%
Other values (6430)	15351	82.5%

Most occurring characters

Value	Count	Frequency (%)
A	22918	18.9%
	9661	7.9%
R	8917	7.3%
H	8394	6.9%
I	7546	6.2%
N	7531	6.2%
S	7027	5.8%
M	6611	5.4%
U	5377	4.4%
E	4883	4.0%
Other values (44)	32686	26.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	121551	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	22918	18.9%
	9661	7.9%
R	8917	7.3%
H	8394	6.9%
I	7546	6.2%
N	7531	6.2%
S	7027	5.8%
M	6611	5.4%
U	5377	4.4%
E	4883	4.0%
Other values (44)	32686	26.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	121551	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	22918	18.9%
	9661	7.9%
R	8917	7.3%
H	8394	6.9%
I	7546	6.2%
N	7531	6.2%
S	7027	5.8%
M	6611	5.4%
U	5377	4.4%
E	4883	4.0%
Other values (44)	32686	26.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	121551	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	22918	18.9%
	9661	7.9%
R	8917	7.3%
H	8394	6.9%
I	7546	6.2%
N	7531	6.2%
S	7027	5.8%
M	6611	5.4%
U	5377	4.4%
E	4883	4.0%
Other values (44)	32686	26.9%

name
Text

Distinct	8964
Distinct (%)	89.6%
Missing	0
Missing (%)	0.0%
Memory size	78.2 KiB

Length

Max length	51
Median length	37
Mean length	14.5662
Min length	3

Characters and Unicode

Total characters	145662
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8380 ?
Unique (%)	83.8%

Sample

1st row	SUNIL CHANDER
2nd row	AMRIT KUMAR
3rd row	ANIMESH THAPA
4th row	ADITYA SINGH
5th row	PARMAR HARESHBHAI AMRUTBHAI

Value	Count	Frequency (%)
kumar	1239	5.6%
singh	970	4.4%
ram	259	1.2%
mohd	215	1.0%
yadav	185	0.8%
mohammad	177	0.8%
khan	175	0.8%
ali	163	0.7%
lal	156	0.7%
sharma	148	0.7%
Other values (7678)	18487	83.4%

Most occurring characters

Value	Count	Frequency (%)
A	27497	18.9%
	12174	8.4%
R	10393	7.1%
H	10386	7.1%
N	9240	6.3%
I	9101	6.2%
S	8902	6.1%
M	7816	5.4%
U	5881	4.0%
E	5800	4.0%
Other values (17)	38472	26.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	145662	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	27497	18.9%
	12174	8.4%
R	10393	7.1%
H	10386	7.1%
N	9240	6.3%
I	9101	6.2%
S	8902	6.1%
M	7816	5.4%
U	5881	4.0%
E	5800	4.0%
Other values (17)	38472	26.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	145662	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	27497	18.9%
	12174	8.4%
R	10393	7.1%
H	10386	7.1%
N	9240	6.3%
I	9101	6.2%
S	8902	6.1%
M	7816	5.4%
U	5881	4.0%
E	5800	4.0%
Other values (17)	38472	26.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	145662	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	27497	18.9%
	12174	8.4%
R	10393	7.1%
H	10386	7.1%
N	9240	6.3%
I	9101	6.2%
S	8902	6.1%
M	7816	5.4%
U	5881	4.0%
E	5800	4.0%
Other values (17)	38472	26.4%

vpa
Categorical

MISSING

Distinct	40
Distinct (%)	0.6%
Missing	2787
Missing (%)	27.9%
Memory size	78.2 KiB

YBL	1451
OKSBI	1025
PAYTM	877
OKAXIS	696
OKICICI	673
Other values (35)	2491

Length

Max length	15
Median length	10
Mean length	5.0530986
Min length	2

Characters and Unicode

Total characters	36448
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	0.1%

Sample

1st row	ABFSPAY
2nd row	OKSBI
3rd row	PAYTM
4th row	IKWIK
5th row	AXL

Common Values

Value	Count	Frequency (%)
YBL	1451	14.5%
OKSBI	1025	10.2%
PAYTM	877	8.8%
OKAXIS	696	7.0%
OKICICI	673	6.7%
OKHDFCBANK	658	6.6%
AXL	549	5.5%
IBL	487	4.9%
PTYES	188	1.9%
IKWIK	99	1.0%
Other values (30)	510	5.1%
(Missing)	2787	27.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
ybl	1451	20.1%
oksbi	1025	14.2%
paytm	877	12.2%
okaxis	696	9.6%
okicici	673	9.3%
okhdfcbank	658	9.1%
axl	549	7.6%
ibl	487	6.8%
ptyes	188	2.6%
ikwik	99	1.4%
Other values (30)	510	7.1%

Most occurring characters

Value	Count	Frequency (%)
I	4737	13.0%
K	3970	10.9%
B	3811	10.5%
O	3081	8.5%
A	3077	8.4%
L	2570	7.1%
Y	2547	7.0%
S	2130	5.8%
C	2112	5.8%
P	1378	3.8%
Other values (17)	7035	19.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	36448	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
I	4737	13.0%
K	3970	10.9%
B	3811	10.5%
O	3081	8.5%
A	3077	8.4%
L	2570	7.1%
Y	2547	7.0%
S	2130	5.8%
C	2112	5.8%
P	1378	3.8%
Other values (17)	7035	19.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	36448	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
I	4737	13.0%
K	3970	10.9%
B	3811	10.5%
O	3081	8.5%
A	3077	8.4%
L	2570	7.1%
Y	2547	7.0%
S	2130	5.8%
C	2112	5.8%
P	1378	3.8%
Other values (17)	7035	19.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	36448	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
I	4737	13.0%
K	3970	10.9%
B	3811	10.5%
O	3081	8.5%
A	3077	8.4%
L	2570	7.1%
Y	2547	7.0%
S	2130	5.8%
C	2112	5.8%
P	1378	3.8%
Other values (17)	7035	19.3%

upi_name
Text

MISSING

Distinct	6693
Distinct (%)	92.8%
Missing	2789
Missing (%)	27.9%
Memory size	78.2 KiB

Length

Max length	58
Median length	42
Mean length	14.944391
Min length	3

Characters and Unicode

Total characters	107764
Distinct characters	64
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6317 ?
Unique (%)	87.6%

Sample

1st row	SUNIL KUMAR
2nd row	Amrit Kumar
3rd row	Aditya Kumar
4th row	HARESHBHAI AMRUTBHAI
5th row	AYSHA A

Value	Count	Frequency (%)
kumar	1262	7.2%
singh	585	3.3%
mr	409	2.3%
so	344	2.0%
khan	163	0.9%
s	155	0.9%
yadav	130	0.7%
md	128	0.7%
devi	128	0.7%
mohd	121	0.7%
Other values (5615)	14051	80.4%

Most occurring characters

Value	Count	Frequency (%)
A	14926	13.9%
	12500	11.6%
R	6144	5.7%
S	5910	5.5%
H	5533	5.1%
M	5033	4.7%
N	4989	4.6%
I	4917	4.6%
a	3956	3.7%
K	3600	3.3%
Other values (54)	40256	37.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	107764	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	14926	13.9%
	12500	11.6%
R	6144	5.7%
S	5910	5.5%
H	5533	5.1%
M	5033	4.7%
N	4989	4.6%
I	4917	4.6%
a	3956	3.7%
K	3600	3.3%
Other values (54)	40256	37.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	107764	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	14926	13.9%
	12500	11.6%
R	6144	5.7%
S	5910	5.5%
H	5533	5.1%
M	5033	4.7%
N	4989	4.6%
I	4917	4.6%
a	3956	3.7%
K	3600	3.3%
Other values (54)	40256	37.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	107764	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	14926	13.9%
	12500	11.6%
R	6144	5.7%
S	5910	5.5%
H	5533	5.1%
M	5033	4.7%
N	4989	4.6%
I	4917	4.6%
a	3956	3.7%
K	3600	3.3%
Other values (54)	40256	37.4%

Phone Social Premium.a23games
Categorical

CONSTANT MISSING

Distinct	1
Distinct (%)	100.0%
Missing	9999
Missing (%)	> 99.9%
Memory size	78.2 KiB

0.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	3
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1	< 0.1%
(Missing)	9999	> 99.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	1	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	2	66.7%
.	1	33.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	2	66.7%
.	1	33.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	2	66.7%
.	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	2	66.7%
.	1	33.3%

Phone Social Premium.amazon
Categorical

MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	1916
Missing (%)	19.2%
Memory size	78.2 KiB

0.0	4151
1.0	3933

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	24252
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	0.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	4151	41.5%
1.0	3933	39.3%
(Missing)	1916	19.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	4151	51.3%
1.0	3933	48.7%

Most occurring characters

Value	Count	Frequency (%)
0	12235	50.4%
.	8084	33.3%
1	3933	16.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	24252	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	12235	50.4%
.	8084	33.3%
1	3933	16.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	24252	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	12235	50.4%
.	8084	33.3%
1	3933	16.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	24252	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	12235	50.4%
.	8084	33.3%
1	3933	16.2%

Phone Social Premium.byjus
Categorical

MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	1948
Missing (%)	19.5%
Memory size	78.2 KiB

0.0	6847
1.0	1205

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	24156
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6847	68.5%
1.0	1205	12.0%
(Missing)	1948	19.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	6847	85.0%
1.0	1205	15.0%

Most occurring characters

Value	Count	Frequency (%)
0	14899	61.7%
.	8052	33.3%
1	1205	5.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	24156	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	14899	61.7%
.	8052	33.3%
1	1205	5.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	24156	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	14899	61.7%
.	8052	33.3%
1	1205	5.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	24156	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	14899	61.7%
.	8052	33.3%
1	1205	5.0%

Phone Social Premium.flipkart
Categorical

MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	1832
Missing (%)	18.3%
Memory size	78.2 KiB

1.0	6113
0.0	2055

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	24504
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
1.0	6113	61.1%
0.0	2055	20.5%
(Missing)	1832	18.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	6113	74.8%
0.0	2055	25.2%

Most occurring characters

Value	Count	Frequency (%)
0	10223	41.7%
.	8168	33.3%
1	6113	24.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	24504	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	10223	41.7%
.	8168	33.3%
1	6113	24.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	24504	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	10223	41.7%
.	8168	33.3%
1	6113	24.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	24504	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	10223	41.7%
.	8168	33.3%
1	6113	24.9%

Phone Social Premium.housing
Categorical

IMBALANCE MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	1776
Missing (%)	17.8%
Memory size	78.2 KiB

0.0	7704
1.0	520

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	24672
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	7704	77.0%
1.0	520	5.2%
(Missing)	1776	17.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	7704	93.7%
1.0	520	6.3%

Most occurring characters

Value	Count	Frequency (%)
0	15928	64.6%
.	8224	33.3%
1	520	2.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	24672	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	15928	64.6%
.	8224	33.3%
1	520	2.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	24672	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	15928	64.6%
.	8224	33.3%
1	520	2.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	24672	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	15928	64.6%
.	8224	33.3%
1	520	2.1%

Phone Social Premium.indiamart
Categorical

IMBALANCE MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	1775
Missing (%)	17.8%
Memory size	78.2 KiB

1.0	8118
0.0	107

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	24675
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	8118	81.2%
0.0	107	1.1%
(Missing)	1775	17.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	8118	98.7%
0.0	107	1.3%

Most occurring characters

Value	Count	Frequency (%)
0	8332	33.8%
.	8225	33.3%
1	8118	32.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	24675	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	8332	33.8%
.	8225	33.3%
1	8118	32.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	24675	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	8332	33.8%
.	8225	33.3%
1	8118	32.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	24675	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	8332	33.8%
.	8225	33.3%
1	8118	32.9%

Phone Social Premium.instagram
Categorical

IMBALANCE MISSING

Distinct	2
Distinct (%)	0.1%
Missing	6630
Missing (%)	66.3%
Memory size	78.2 KiB

1.0	3078
0.0	292

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	10110
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	3078	30.8%
0.0	292	2.9%
(Missing)	6630	66.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	3078	91.3%
0.0	292	8.7%

Most occurring characters

Value	Count	Frequency (%)
0	3662	36.2%
.	3370	33.3%
1	3078	30.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10110	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	3662	36.2%
.	3370	33.3%
1	3078	30.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10110	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	3662	36.2%
.	3370	33.3%
1	3078	30.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10110	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	3662	36.2%
.	3370	33.3%
1	3078	30.4%

Phone Social Premium.isWABusiness
Categorical

IMBALANCE MISSING

Distinct	2
Distinct (%)	0.1%
Missing	8427
Missing (%)	84.3%
Memory size	78.2 KiB

0.0	1428
1.0	145

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4719
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1428	14.3%
1.0	145	1.5%
(Missing)	8427	84.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	1428	90.8%
1.0	145	9.2%

Most occurring characters

Value	Count	Frequency (%)
0	3001	63.6%
.	1573	33.3%
1	145	3.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4719	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	3001	63.6%
.	1573	33.3%
1	145	3.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4719	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	3001	63.6%
.	1573	33.3%
1	145	3.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4719	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	3001	63.6%
.	1573	33.3%
1	145	3.1%

Phone Social Premium.jeevansaathi
Categorical

IMBALANCE MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	1829
Missing (%)	18.3%
Memory size	78.2 KiB

0.0	7757
1.0	414

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	24513
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	7757	77.6%
1.0	414	4.1%
(Missing)	1829	18.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	7757	94.9%
1.0	414	5.1%

Most occurring characters

Value	Count	Frequency (%)
0	15928	65.0%
.	8171	33.3%
1	414	1.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	24513	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	15928	65.0%
.	8171	33.3%
1	414	1.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	24513	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	15928	65.0%
.	8171	33.3%
1	414	1.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	24513	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	15928	65.0%
.	8171	33.3%
1	414	1.7%

Phone Social Premium.jiomart
Categorical

MISSING

Distinct	2
Distinct (%)	0.5%
Missing	9590
Missing (%)	95.9%
Memory size	78.2 KiB

0.0	226
1.0	184

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1230
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	226	2.3%
1.0	184	1.8%
(Missing)	9590	95.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	226	55.1%
1.0	184	44.9%

Most occurring characters

Value	Count	Frequency (%)
0	636	51.7%
.	410	33.3%
1	184	15.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1230	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	636	51.7%
.	410	33.3%
1	184	15.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1230	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	636	51.7%
.	410	33.3%
1	184	15.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1230	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	636	51.7%
.	410	33.3%
1	184	15.0%

Phone Social Premium.microsoft
Categorical

HIGH CORRELATION MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	1872
Missing (%)	18.7%
Memory size	78.2 KiB

0.0	6910
1.0	1218

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	24384
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6910	69.1%
1.0	1218	12.2%
(Missing)	1872	18.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	6910	85.0%
1.0	1218	15.0%

Most occurring characters

Value	Count	Frequency (%)
0	15038	61.7%
.	8128	33.3%
1	1218	5.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	24384	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	15038	61.7%
.	8128	33.3%
1	1218	5.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	24384	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	15038	61.7%
.	8128	33.3%
1	1218	5.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	24384	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	15038	61.7%
.	8128	33.3%
1	1218	5.0%

Phone Social Premium.my11
Categorical

CONSTANT MISSING

Distinct	1
Distinct (%)	50.0%
Missing	9998
Missing (%)	> 99.9%
Memory size	78.2 KiB

0.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	6
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0

Common Values

Value	Count	Frequency (%)
0.0	2	< 0.1%
(Missing)	9998	> 99.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	2	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	4	66.7%
.	2	33.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	4	66.7%
.	2	33.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	4	66.7%
.	2	33.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	4	66.7%
.	2	33.3%

Phone Social Premium.paytm
Categorical

MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	1757
Missing (%)	17.6%
Memory size	78.2 KiB

1.0	6760
0.0	1483

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	24729
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	0.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	6760	67.6%
0.0	1483	14.8%
(Missing)	1757	17.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	6760	82.0%
0.0	1483	18.0%

Most occurring characters

Value	Count	Frequency (%)
0	9726	39.3%
.	8243	33.3%
1	6760	27.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	24729	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	9726	39.3%
.	8243	33.3%
1	6760	27.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	24729	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	9726	39.3%
.	8243	33.3%
1	6760	27.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	24729	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	9726	39.3%
.	8243	33.3%
1	6760	27.3%

Phone Social Premium.rummycircle
Categorical

CONSTANT MISSING

Distinct	1
Distinct (%)	100.0%
Missing	9999
Missing (%)	> 99.9%
Memory size	78.2 KiB

0.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	3
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1	< 0.1%
(Missing)	9999	> 99.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	1	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	2	66.7%
.	1	33.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	2	66.7%
.	1	33.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	2	66.7%
.	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	2	66.7%
.	1	33.3%

Phone Social Premium.shaadi
Categorical

IMBALANCE MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	1779
Missing (%)	17.8%
Memory size	78.2 KiB

0.0	8077
1.0	144

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	24663
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	8077	80.8%
1.0	144	1.4%
(Missing)	1779	17.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	8077	98.2%
1.0	144	1.8%

Most occurring characters

Value	Count	Frequency (%)
0	16298	66.1%
.	8221	33.3%
1	144	0.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	24663	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	16298	66.1%
.	8221	33.3%
1	144	0.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	24663	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	16298	66.1%
.	8221	33.3%
1	144	0.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	24663	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	16298	66.1%
.	8221	33.3%
1	144	0.6%

Phone Social Premium.skype
Categorical

HIGH CORRELATION MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	1785
Missing (%)	17.8%
Memory size	78.2 KiB

0.0	7002
1.0	1213

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	24645
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	7002	70.0%
1.0	1213	12.1%
(Missing)	1785	17.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	7002	85.2%
1.0	1213	14.8%

Most occurring characters

Value	Count	Frequency (%)
0	15217	61.7%
.	8215	33.3%
1	1213	4.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	24645	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	15217	61.7%
.	8215	33.3%
1	1213	4.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	24645	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	15217	61.7%
.	8215	33.3%
1	1213	4.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	24645	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	15217	61.7%
.	8215	33.3%
1	1213	4.9%

Phone Social Premium.toi
Categorical

MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	1943
Missing (%)	19.4%
Memory size	78.2 KiB

0.0	6036
1.0	2021

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	24171
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	6036	60.4%
1.0	2021	20.2%
(Missing)	1943	19.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	6036	74.9%
1.0	2021	25.1%

Most occurring characters

Value	Count	Frequency (%)
0	14093	58.3%
.	8057	33.3%
1	2021	8.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	24171	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	14093	58.3%
.	8057	33.3%
1	2021	8.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	24171	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	14093	58.3%
.	8057	33.3%
1	2021	8.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	24171	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	14093	58.3%
.	8057	33.3%
1	2021	8.4%

Phone Social Premium.whatsapp
Categorical

MISSING

Distinct	2
Distinct (%)	0.1%
Missing	8427
Missing (%)	84.3%
Memory size	78.2 KiB

1.0	1344
0.0	229

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4719
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1344	13.4%
0.0	229	2.3%
(Missing)	8427	84.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	1344	85.4%
0.0	229	14.6%

Most occurring characters

Value	Count	Frequency (%)
0	1802	38.2%
.	1573	33.3%
1	1344	28.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4719	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	1802	38.2%
.	1573	33.3%
1	1344	28.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4719	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	1802	38.2%
.	1573	33.3%
1	1344	28.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4719	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	1802	38.2%
.	1573	33.3%
1	1344	28.5%

Phone Social Premium.yatra
Categorical

CONSTANT MISSING

Distinct	1
Distinct (%)	11.1%
Missing	9991
Missing (%)	99.9%
Memory size	78.2 KiB

0.0	9

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	27
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	9	0.1%
(Missing)	9991	99.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	9	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	18	66.7%
.	9	33.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	27	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	18	66.7%
.	9	33.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	27	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	18	66.7%
.	9	33.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	27	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	18	66.7%
.	9	33.3%

Phone Social Premium.zoho
Categorical

IMBALANCE MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	1782
Missing (%)	17.8%
Memory size	78.2 KiB

0.0	8213
1.0	5

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	24654
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	8213	82.1%
1.0	5	0.1%
(Missing)	1782	17.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	8213	99.9%
1.0	5	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	16431	66.6%
.	8218	33.3%
1	5	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	24654	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	16431	66.6%
.	8218	33.3%
1	5	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	24654	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	16431	66.6%
.	8218	33.3%
1	5	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	24654	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	16431	66.6%
.	8218	33.3%
1	5	< 0.1%

phone_digitalage
Real number (ℝ)

Distinct	1781
Distinct (%)	17.8%
Missing	4
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	1652.938

Minimum	-1
Maximum	6311
Zeros	2
Zeros (%)	< 0.1%
Negative	380
Negative (%)	3.8%
Memory size	78.2 KiB

Quantile statistics

Minimum	-1
5-th percentile	89.5
Q1	809
median	1988
Q3	2031
95-th percentile	3322.75
Maximum	6311
Range	6312
Interquartile range (IQR)	1222

Descriptive statistics

Standard deviation	984.11425
Coefficient of variation (CV)	0.59537276
Kurtosis	0.85013589
Mean	1652.938
Median Absolute Deviation (MAD)	408
Skewness	0.38499467
Sum	16522768
Variance	968480.85
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1998	2022	20.2%
1988	950	9.5%
2396	384	3.8%
-1	380	3.8%
809	134	1.3%
3497	114	1.1%
698	104	1.0%
1262	93	0.9%
2147	79	0.8%
1965	68	0.7%
Other values (1771)	5668	56.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	380	3.8%
0	2	< 0.1%
5	1	< 0.1%
12	2	< 0.1%
23	7	0.1%
53	35	0.4%
54	1	< 0.1%
61	13	0.1%
62	3	< 0.1%
63	5	0.1%

Value	Count	Frequency (%)
6311	4	< 0.1%
5970	1	< 0.1%
5324	47	0.5%
5306	1	< 0.1%
5265	2	< 0.1%
5248	1	< 0.1%
5234	1	< 0.1%
5223	1	< 0.1%
5167	1	< 0.1%
5108	1	< 0.1%

phone_nameMatchScore
Real number (ℝ)

Distinct	1007
Distinct (%)	10.1%
Missing	4
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	55.645558

Minimum	-1
Maximum	100
Zeros	2
Zeros (%)	< 0.1%
Negative	2913
Negative (%)	29.1%
Memory size	78.2 KiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	-1
median	73.571429
Q3	96
95-th percentile	100
Maximum	100
Range	101
Interquartile range (IQR)	97

Descriptive statistics

Standard deviation	42.100616
Coefficient of variation (CV)	0.75658539
Kurtosis	-1.6056019
Mean	55.645558
Median Absolute Deviation (MAD)	26.428571
Skewness	-0.37760521
Sum	556233
Variance	1772.4619
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1	2913	29.1%
100	2450	24.5%
83.33333333	283	2.8%
90	123	1.2%
85.71428571	112	1.1%
91.66666667	112	1.1%
90.90909091	103	1.0%
87.5	82	0.8%
80	74	0.7%
88.88888889	69	0.7%
Other values (997)	3675	36.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	2913	29.1%
0	2	< 0.1%
5	1	< 0.1%
5.405405405	1	< 0.1%
5.555555556	1	< 0.1%
5.714285714	1	< 0.1%
5.882352941	1	< 0.1%
6.25	1	< 0.1%
6.451612903	2	< 0.1%
6.666666667	3	< 0.1%

Value	Count	Frequency (%)
100	2450	24.5%
97.95918367	1	< 0.1%
97.82608696	1	< 0.1%
97.77777778	1	< 0.1%
97.6744186	1	< 0.1%
97.61904762	1	< 0.1%
97.56097561	1	< 0.1%
97.43589744	1	< 0.1%
97.36842105	2	< 0.1%
97.2972973	3	< 0.1%

phone_phoneFootprintStrengthOverall
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	6
Missing (%)	0.1%
Memory size	78.2 KiB

Medium	4599
High	4141
Low	1179
Very High	44
Very Low	31

Length

Max length	9
Median length	8
Mean length	4.8368021
Min length	3

Characters and Unicode

Total characters	48339
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	High
2nd row	High
3rd row	Low
4th row	High
5th row	High

Common Values

Value	Count	Frequency (%)
Medium	4599	46.0%
High	4141	41.4%
Low	1179	11.8%
Very High	44	0.4%
Very Low	31	0.3%
(Missing)	6	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
medium	4599	45.7%
high	4185	41.6%
low	1210	12.0%
very	75	0.7%

Most occurring characters

Value	Count	Frequency (%)
i	8784	18.2%
e	4674	9.7%
M	4599	9.5%
d	4599	9.5%
u	4599	9.5%
m	4599	9.5%
H	4185	8.7%
g	4185	8.7%
h	4185	8.7%
L	1210	2.5%
Other values (6)	2720	5.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	48339	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	8784	18.2%
e	4674	9.7%
M	4599	9.5%
d	4599	9.5%
u	4599	9.5%
m	4599	9.5%
H	4185	8.7%
g	4185	8.7%
h	4185	8.7%
L	1210	2.5%
Other values (6)	2720	5.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	48339	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	8784	18.2%
e	4674	9.7%
M	4599	9.5%
d	4599	9.5%
u	4599	9.5%
m	4599	9.5%
H	4185	8.7%
g	4185	8.7%
h	4185	8.7%
L	1210	2.5%
Other values (6)	2720	5.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	48339	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	8784	18.2%
e	4674	9.7%
M	4599	9.5%
d	4599	9.5%
u	4599	9.5%
m	4599	9.5%
H	4185	8.7%
g	4185	8.7%
h	4185	8.7%
L	1210	2.5%
Other values (6)	2720	5.6%

Application Status
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.2 KiB

APPROVED	6677
DECLINED	3323

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	80000
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	APPROVED
2nd row	APPROVED
3rd row	APPROVED
4th row	APPROVED
5th row	DECLINED

Common Values

Value	Count	Frequency (%)
APPROVED	6677	66.8%
DECLINED	3323	33.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
approved	6677	66.8%
declined	3323	33.2%

Most occurring characters

Value	Count	Frequency (%)
P	13354	16.7%
E	13323	16.7%
D	13323	16.7%
A	6677	8.3%
R	6677	8.3%
O	6677	8.3%
V	6677	8.3%
C	3323	4.2%
L	3323	4.2%
I	3323	4.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	80000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
P	13354	16.7%
E	13323	16.7%
D	13323	16.7%
A	6677	8.3%
R	6677	8.3%
O	6677	8.3%
V	6677	8.3%
C	3323	4.2%
L	3323	4.2%
I	3323	4.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	80000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
P	13354	16.7%
E	13323	16.7%
D	13323	16.7%
A	6677	8.3%
R	6677	8.3%
O	6677	8.3%
V	6677	8.3%
C	3323	4.2%
L	3323	4.2%
I	3323	4.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	80000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
P	13354	16.7%
E	13323	16.7%
D	13323	16.7%
A	6677	8.3%
R	6677	8.3%
O	6677	8.3%
V	6677	8.3%
C	3323	4.2%
L	3323	4.2%
I	3323	4.2%

Auto

Heatmap
Table

	ADDRESS TYPE	AGE	APPLIED AMOUNT	ASSET CTG	ASSET MODEL NO	Application Status	DEALER ID	DOB	EMPLOY CONSTITUTION	EMPLOYER TYPE	GENDER	HDB BRANCH STATE	MARITAL STATUS	PRIMARY ASSET MAKE	Phone Social Premium.amazon	Phone Social Premium.byjus	Phone Social Premium.flipkart	Phone Social Premium.housing	Phone Social Premium.indiamart	Phone Social Premium.instagram	Phone Social Premium.isWABusiness	Phone Social Premium.jeevansaathi	Phone Social Premium.jiomart	Phone Social Premium.microsoft	Phone Social Premium.paytm	Phone Social Premium.shaadi	Phone Social Premium.skype	Phone Social Premium.toi	Phone Social Premium.whatsapp	Phone Social Premium.zoho	TOTAL ASSET COST	mobile	phone_digitalage	phone_nameMatchScore	phone_phoneFootprintStrengthOverall	vpa
ADDRESS TYPE	1.000	0.093	0.000	0.065	0.049	0.618	0.048	0.032	0.319	0.382	0.000	0.105	0.147	0.040	0.111	0.044	0.090	0.089	0.020	0.000	0.000	0.023	0.000	0.077	0.071	0.023	0.070	0.068	0.000	0.020	0.043	0.000	0.000	0.063	0.030	0.000
AGE	0.093	1.000	-0.012	0.052	-0.029	0.080	-0.052	-0.162	0.090	0.079	0.104	0.041	0.553	0.032	0.138	0.028	0.226	0.036	0.013	0.061	0.047	0.036	0.000	0.046	0.154	0.031	0.043	0.102	0.084	0.000	-0.010	0.139	0.063	-0.153	0.052	0.000
APPLIED AMOUNT	0.000	-0.012	1.000	0.292	0.064	0.000	0.031	0.084	0.000	0.000	0.045	0.050	0.050	0.185	0.017	0.000	0.028	0.072	0.000	0.000	0.000	0.064	0.018	0.052	0.015	0.000	0.051	0.022	0.000	0.000	0.679	-0.009	0.042	0.051	0.014	0.000
ASSET CTG	0.065	0.052	0.292	1.000	0.320	1.000	0.125	0.067	0.177	0.099	0.275	0.177	0.069	0.562	0.105	0.066	0.087	0.082	0.000	0.090	0.065	0.000	0.000	0.117	0.052	0.010	0.113	0.000	0.000	0.000	0.410	0.026	0.028	0.045	0.038	0.000
ASSET MODEL NO	0.049	-0.029	0.064	0.320	1.000	0.068	0.059	0.033	0.067	0.044	0.029	0.138	0.052	0.453	0.068	0.048	0.084	0.049	0.000	0.048	0.000	0.017	0.000	0.065	0.038	0.000	0.062	0.028	0.000	0.000	0.024	0.015	-0.040	0.026	0.009	0.022
Application Status	0.618	0.080	0.000	1.000	0.068	1.000	0.046	0.000	0.008	0.076	0.023	0.104	0.000	0.111	0.000	0.000	0.000	0.023	0.000	0.000	0.000	0.000	0.046	0.000	0.023	0.006	0.000	0.000	0.024	0.005	1.000	0.021	0.042	0.095	0.017	0.022
DEALER ID	0.048	-0.052	0.031	0.125	0.059	0.046	1.000	-0.089	0.148	0.088	0.084	0.293	0.046	0.184	0.030	0.031	0.040	0.022	0.008	0.038	0.000	0.018	0.000	0.018	0.007	0.000	0.012	0.030	0.000	0.000	-0.013	-0.013	0.002	-0.035	0.012	0.026
DOB	0.032	-0.162	0.084	0.067	0.033	0.000	-0.089	1.000	0.173	0.098	0.030	0.091	0.157	0.053	0.144	0.046	0.108	0.089	0.000	0.012	0.000	0.053	0.000	0.133	0.066	0.046	0.135	0.082	0.000	0.025	0.115	0.023	0.056	0.168	0.056	0.037
EMPLOY CONSTITUTION	0.319	0.090	0.000	0.177	0.067	0.008	0.148	0.173	1.000	0.999	0.042	0.350	0.096	0.089	0.110	0.071	0.076	0.106	0.007	0.000	0.000	0.080	0.000	0.161	0.076	0.032	0.149	0.096	0.000	0.000	0.073	0.045	0.031	0.132	0.084	0.116
EMPLOYER TYPE	0.382	0.079	0.000	0.099	0.044	0.076	0.088	0.098	0.999	1.000	0.038	0.207	0.104	0.069	0.111	0.071	0.081	0.107	0.006	0.000	0.000	0.079	0.000	0.162	0.090	0.032	0.150	0.094	0.000	0.000	0.054	0.024	0.033	0.088	0.052	0.058
GENDER	0.000	0.104	0.045	0.275	0.029	0.023	0.084	0.030	0.042	0.038	1.000	0.157	0.114	0.140	0.000	0.026	0.000	0.014	0.000	0.000	0.027	0.050	0.000	0.000	0.068	0.020	0.000	0.026	0.053	0.000	0.093	0.027	0.039	0.148	0.040	0.043
HDB BRANCH STATE	0.105	0.041	0.050	0.177	0.138	0.104	0.293	0.091	0.350	0.207	0.157	1.000	0.087	0.159	0.141	0.053	0.122	0.137	0.048	0.000	0.069	0.087	0.000	0.125	0.126	0.046	0.122	0.120	0.079	0.000	0.147	0.092	0.141	0.079	0.072	0.049
MARITAL STATUS	0.147	0.553	0.050	0.069	0.052	0.000	0.046	0.157	0.096	0.104	0.114	0.087	1.000	0.046	0.158	0.032	0.167	0.054	0.000	0.050	0.061	0.064	0.083	0.102	0.127	0.072	0.099	0.100	0.017	0.000	0.096	0.106	0.057	0.149	0.099	0.084
PRIMARY ASSET MAKE	0.040	0.032	0.185	0.562	0.453	0.111	0.184	0.053	0.089	0.069	0.140	0.159	0.046	1.000	0.102	0.043	0.083	0.076	0.000	0.030	0.000	0.029	0.031	0.099	0.000	0.000	0.097	0.027	0.000	0.000	0.374	0.008	0.030	0.022	0.037	0.000
Phone Social Premium.amazon	0.111	0.138	0.017	0.105	0.068	0.000	0.030	0.144	0.110	0.111	0.000	0.141	0.158	0.102	1.000	0.153	0.381	0.135	0.036	0.027	0.071	0.108	0.132	0.225	0.286	0.061	0.230	0.231	0.185	0.000	0.071	0.042	0.139	0.257	0.424	0.150
Phone Social Premium.byjus	0.044	0.028	0.000	0.066	0.048	0.000	0.031	0.046	0.071	0.071	0.026	0.053	0.032	0.043	0.153	1.000	0.169	0.086	0.000	0.029	0.000	0.033	0.000	0.146	0.110	0.025	0.142	0.149	0.070	0.022	0.000	0.000	0.074	0.117	0.156	0.072
Phone Social Premium.flipkart	0.090	0.226	0.028	0.087	0.084	0.000	0.040	0.108	0.076	0.081	0.000	0.122	0.167	0.083	0.381	0.169	1.000	0.119	0.015	0.058	0.000	0.094	0.224	0.190	0.327	0.056	0.189	0.242	0.266	0.000	0.086	0.037	0.129	0.313	0.470	0.116
Phone Social Premium.housing	0.089	0.036	0.072	0.082	0.049	0.023	0.022	0.089	0.106	0.107	0.014	0.137	0.054	0.076	0.135	0.086	0.119	1.000	0.000	0.030	0.016	0.124	0.163	0.179	0.096	0.077	0.177	0.106	0.102	0.043	0.032	0.043	0.037	0.097	0.157	0.150
Phone Social Premium.indiamart	0.020	0.013	0.000	0.000	0.000	0.000	0.008	0.000	0.007	0.006	0.000	0.048	0.000	0.000	0.036	0.000	0.015	0.000	1.000	0.136	0.000	0.000	0.208	0.000	0.025	0.000	0.011	0.016	0.000	0.000	0.000	0.000	0.000	0.039	0.032	0.000
Phone Social Premium.instagram	0.000	0.061	0.000	0.090	0.048	0.000	0.038	0.012	0.000	0.000	0.000	0.000	0.050	0.030	0.027	0.029	0.058	0.030	0.136	1.000	0.031	0.000	0.168	0.009	0.029	0.000	0.000	0.043	0.150	0.000	0.071	0.037	0.000	0.073	0.153	0.099
Phone Social Premium.isWABusiness	0.000	0.047	0.000	0.065	0.000	0.000	0.000	0.000	0.000	0.000	0.027	0.069	0.061	0.000	0.071	0.000	0.000	0.016	0.000	0.031	1.000	0.000	0.000	0.026	0.028	0.000	0.032	0.055	0.126	0.000	0.000	0.000	0.065	0.000	0.000	0.042
Phone Social Premium.jeevansaathi	0.023	0.036	0.064	0.000	0.017	0.000	0.018	0.053	0.080	0.079	0.050	0.087	0.064	0.029	0.108	0.033	0.094	0.124	0.000	0.000	0.000	1.000	0.142	0.109	0.078	0.095	0.104	0.100	0.051	0.000	0.024	0.031	0.038	0.079	0.122	0.091
Phone Social Premium.jiomart	0.000	0.000	0.018	0.000	0.000	0.046	0.000	0.000	0.000	0.000	0.000	0.000	0.083	0.031	0.132	0.000	0.224	0.163	0.208	0.168	0.000	0.142	1.000	0.100	0.065	0.103	0.138	0.155	0.074	0.000	0.000	0.075	0.091	0.000	0.167	0.126
Phone Social Premium.microsoft	0.077	0.046	0.052	0.117	0.065	0.000	0.018	0.133	0.161	0.162	0.000	0.125	0.102	0.099	0.225	0.146	0.190	0.179	0.000	0.009	0.026	0.109	0.100	1.000	0.137	0.061	0.986	0.197	0.090	0.037	0.084	0.054	0.116	0.157	0.221	0.097
Phone Social Premium.paytm	0.071	0.154	0.015	0.052	0.038	0.023	0.007	0.066	0.076	0.090	0.068	0.126	0.127	0.000	0.286	0.110	0.327	0.096	0.025	0.029	0.028	0.078	0.065	0.137	1.000	0.058	0.135	0.176	0.247	0.000	0.000	0.036	0.101	0.367	0.439	0.157
Phone Social Premium.shaadi	0.023	0.031	0.000	0.010	0.000	0.006	0.000	0.046	0.032	0.032	0.020	0.046	0.072	0.000	0.061	0.025	0.056	0.077	0.000	0.000	0.000	0.095	0.103	0.061	0.058	1.000	0.062	0.043	0.000	0.000	0.069	0.000	0.000	0.055	0.058	0.087
Phone Social Premium.skype	0.070	0.043	0.051	0.113	0.062	0.000	0.012	0.135	0.149	0.150	0.000	0.122	0.099	0.097	0.230	0.142	0.189	0.177	0.011	0.000	0.032	0.104	0.138	0.986	0.135	0.062	1.000	0.196	0.089	0.022	0.077	0.056	0.116	0.153	0.217	0.098
Phone Social Premium.toi	0.068	0.102	0.022	0.000	0.028	0.000	0.030	0.082	0.096	0.094	0.026	0.120	0.100	0.027	0.231	0.149	0.242	0.106	0.016	0.043	0.055	0.100	0.155	0.197	0.176	0.043	0.196	1.000	0.124	0.023	0.063	0.027	0.088	0.171	0.208	0.097
Phone Social Premium.whatsapp	0.000	0.084	0.000	0.000	0.000	0.024	0.000	0.000	0.000	0.000	0.053	0.079	0.017	0.000	0.185	0.070	0.266	0.102	0.000	0.150	0.126	0.051	0.074	0.090	0.247	0.000	0.089	0.124	1.000	0.000	0.000	0.056	0.127	0.350	0.281	0.000
Phone Social Premium.zoho	0.020	0.000	0.000	0.000	0.000	0.005	0.000	0.025	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.022	0.000	0.043	0.000	0.000	0.000	0.000	0.000	0.037	0.000	0.000	0.022	0.023	0.000	1.000	0.000	0.000	0.024	0.000	0.065	0.000
TOTAL ASSET COST	0.043	-0.010	0.679	0.410	0.024	1.000	-0.013	0.115	0.073	0.054	0.093	0.147	0.096	0.374	0.071	0.000	0.086	0.032	0.000	0.071	0.000	0.024	0.000	0.084	0.000	0.069	0.077	0.063	0.000	0.000	1.000	-0.012	0.039	0.067	0.000	0.037
mobile	0.000	0.139	-0.009	0.026	0.015	0.021	-0.013	0.023	0.045	0.024	0.027	0.092	0.106	0.008	0.042	0.000	0.037	0.043	0.000	0.037	0.000	0.031	0.075	0.054	0.036	0.000	0.056	0.027	0.056	0.000	-0.012	1.000	0.100	0.066	0.054	0.030
phone_digitalage	0.000	0.063	0.042	0.028	-0.040	0.042	0.002	0.056	0.031	0.033	0.039	0.141	0.057	0.030	0.139	0.074	0.129	0.037	0.000	0.000	0.065	0.038	0.091	0.116	0.101	0.000	0.116	0.088	0.127	0.024	0.039	0.100	1.000	0.078	0.282	0.046
phone_nameMatchScore	0.063	-0.153	0.051	0.045	0.026	0.095	-0.035	0.168	0.132	0.088	0.148	0.079	0.149	0.022	0.257	0.117	0.313	0.097	0.039	0.073	0.000	0.079	0.000	0.157	0.367	0.055	0.153	0.171	0.350	0.000	0.067	0.066	0.078	1.000	0.226	0.026
phone_phoneFootprintStrengthOverall	0.030	0.052	0.014	0.038	0.009	0.017	0.012	0.056	0.084	0.052	0.040	0.072	0.099	0.037	0.424	0.156	0.470	0.157	0.032	0.153	0.000	0.122	0.167	0.221	0.439	0.058	0.217	0.208	0.281	0.065	0.000	0.054	0.282	0.226	1.000	0.099
vpa	0.000	0.000	0.000	0.000	0.022	0.022	0.026	0.037	0.116	0.058	0.043	0.049	0.084	0.000	0.150	0.072	0.116	0.150	0.000	0.099	0.042	0.091	0.126	0.097	0.157	0.087	0.098	0.097	0.000	0.000	0.037	0.030	0.046	0.026	0.099	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	DEALER ID	APPLICATION LOGIN DATE	HDB BRANCH NAME	HDB BRANCH STATE	FIRST NAME	MIDDLE NAME	LAST NAME	mobile	AADHAR VERIFIED	Cibil Score	MOBILE VERIFICATION	DEALER NAME	TOTAL ASSET COST	ASSET CTG	ASSET MODEL NO	APPLIED AMOUNT	PRIMARY ASSET MAKE	Primary Asset Model No	Personal Email Address	MARITAL STATUS	GENDER	DOB	AGE	ADDRESS TYPE	EMPLOY CONSTITUTION	EMPLOYER NAME	EMPLOYER TYPE	Pan Name	name	vpa	upi_name	Phone Social Premium.a23games	Phone Social Premium.amazon	Phone Social Premium.byjus	Phone Social Premium.flipkart	Phone Social Premium.housing	Phone Social Premium.indiamart	Phone Social Premium.instagram	Phone Social Premium.isWABusiness	Phone Social Premium.jiomart	Phone Social Premium.microsoft	Phone Social Premium.my11	Phone Social Premium.paytm	Phone Social Premium.rummycircle	Phone Social Premium.skype	Phone Social Premium.toi	Phone Social Premium.whatsapp	Phone Social Premium.yatra	phone_digitalage	phone_nameMatchScore	phone_phoneFootprintStrengthOverall	Application Status
0	106989	07/20/2022	DELHI-SF	DELHI	SUNIL	NaN	CHANDER	9210574080	NO	726	True	V D AUTO WHEELS CHHOTIAL	95041.0	MCEXA	139542	85000	HONDA MOTORS	SHINE DRUM BSVI	SUNILSEHRAWAT7355@GMAIL.COM	Married	Male	1041978	44	Parental	SALARIED	sehrawat spare parts	SALARIED	SUNIL KUMAR	SUNIL CHANDER	ABFSPAY	SUNIL KUMAR	NaN	1.0	0.0	1.0	0.0	1.0	NaN	NaN	NaN	0.0	NaN	1.0	NaN	0.0	1.0	NaN	NaN	5324.0	67.222222	High	APPROVED
1	108975	07/28/2022	PATNA-SF	BIHAR	AMRIT	NaN	KUMAR	8877987018	NO	NaN	True	CHANDAN AUTOMOBILES 259 KGS TOWER	NaN	NaN	140208	90000	HERO MOTORS	SPLENDOR PLUS SELF DRUM BSVI I3S	NULL@GMAIL.COM	NaN	Male	1011997	25	NaN	NaN	NaN	NaN	AMRIT KUMAR	AMRIT KUMAR	OKSBI	Amrit Kumar	NaN	1.0	1.0	1.0	0.0	1.0	NaN	NaN	NaN	0.0	NaN	1.0	NaN	0.0	0.0	NaN	NaN	1998.0	100.000000	High	APPROVED
2	111004	07/15/2022	DARJEELING-SF	WEST BENGAL	ANIMESH	NaN	THAPA	8910862135	NO	737	True	KN VISION 53HILL CART ROAD	119436.0	SCEXA	160001	75000	TVS MOTOR CO	TVS NTORQ SUPER SQUAD EDITION BSVI	CHETTRIDIKSHA@GMAIL.COM	Single	Male	9081999	22	Self/Spouse Owned	SELF-EMPLOYED	Thapas shop	SELF-EMPLOYED	ANIMESH THAPA	ANIMESH THAPA	NaN	NaN	NaN	0.0	0.0	1.0	0.0	1.0	NaN	NaN	NaN	0.0	NaN	0.0	NaN	0.0	0.0	NaN	NaN	-1.0	-1.000000	Low	APPROVED
3	192020	07/04/22	SAHARANPUR-SF	UTTAR PRADESH	ADITYA	NaN	SINGH	9758428017	NO	713	True	MAHADEV AUTOMOBILES MANGLAUR	87000.0	MCECA	160832	78500	HERO MOTORS	SPLENDOR+ BLK ACCT SS DRUM I3S BSVI	ADITYA98@GAMIL.COM	Single	Male	3071998	24	Parental	SELF-EMPLOYED	agriculture farming	SELF-EMPLOYED	ADITYA KUMAR	ADITYA SINGH	PAYTM	Aditya Kumar	NaN	0.0	0.0	1.0	1.0	1.0	1.0	NaN	NaN	0.0	NaN	1.0	NaN	0.0	1.0	NaN	NaN	1998.0	72.777778	High	APPROVED
4	55095	07/15/2022	MODASA-SF	GUJARAT	PARMAR	HARESHBHAI	AMRUTBHAI	9687028486	NO	669	True	DWARKESH AUTO SHAMLAJI ROAD	NaN	NaN	174641	70000	HONDA MOTORS	DIO STD BSVI	PARMARHARESHBHAI1989@GMAIL.COM	NaN	Male	5071989	33	NaN	NaN	NaN	NaN	HARESHBHAI AMRUTBHAI PARMAR	PARMAR HARESHBHAI AMRUTBHAI	IKWIK	HARESHBHAI AMRUTBHAI	NaN	1.0	0.0	0.0	0.0	1.0	1.0	NaN	NaN	0.0	NaN	1.0	NaN	0.0	1.0	NaN	NaN	1998.0	68.095238	High	DECLINED
5	200558	07/26/2022	RAMPUR-SF	NaN	AAYSHA	ABDUL	LATEEF	9720733482	NO	NaN	True	R K MOTORS NANITAL ROAD	NaN	NaN	198364	107000	HERO MOTORS	DESTINI 125 XTEC ALLOY BSVI	AAYSHA123@GMAIL.COM	NaN	Female	1011990	32	NaN	NaN	NaN	NaN	AAYSHA	AAYSHA ABDUL LATEEF	AXL	AYSHA A	NaN	1.0	0.0	1.0	0.0	1.0	NaN	NaN	NaN	0.0	NaN	1.0	NaN	0.0	0.0	NaN	NaN	1998.0	73.015873	High	APPROVED
6	100398	07/25/2022	DELHI EAST-SF	DELHI	ROYEL	NaN	HAZARI	8287660919	NO	NaN	True	G K MOTORS P L VIKAS MARG	112562.0	MCEXA	178903	99999	TVS MOTOR CO	RAIDER DISC	ROYEL123@GMAIL.COM	Married	Male	2031992	30	Rented	SALARIED	ONE RAJA	SALARIED	ROYEL HAZARI	ROYEL HAZARI	IBL	ROYEL HAZARI	NaN	1.0	0.0	1.0	0.0	1.0	NaN	NaN	NaN	1.0	NaN	1.0	NaN	1.0	0.0	NaN	NaN	750.0	100.000000	Medium	APPROVED
7	86942	07/21/2022	MIRZAPUR-SF	UTTAR PRADESH	MOHMMAD	NaN	ASHIF	8787011013	NO	762	True	KRISHNA MANI MOTORS PILIKOTHI	NaN	NaN	143607	102000	BAJAJ AUTO INDIA	PULSAR 125 DISC CBS BSVI	MOHMMAD@GMAIL.COM	NaN	Male	14041989	0	NaN	NaN	NaN	NaN	MOHMMAD ASHIF	MOHMMAD ASHIF	IBL	MOHMMAD ASHIF	NaN	1.0	0.0	1.0	0.0	1.0	NaN	NaN	NaN	0.0	NaN	1.0	NaN	0.0	0.0	NaN	NaN	1998.0	100.000000	High	DECLINED
8	80787	07/04/22	JIND-SF	HARYANA	DEEPAK	NaN	RAMMEHAR	9992177321	NO	NaN	True	BANSAL AUTO SALES ROHTAK ROAD JIND	78120.0	MCECA	138383	72500	BAJAJ AUTO INDIA	PLATINA 100 ES ALLOY BSVI	DEEPAK@GMAIL.COM	Married	Male	10041998	24	RESIDENCE	SELF-EMPLOYED	agriculture	SELF-EMPLOYED	DEEPAK	DEEPAK RAMMEHAR	PAYTM	Deepak .	NaN	0.0	0.0	1.0	0.0	1.0	1.0	NaN	NaN	0.0	NaN	1.0	NaN	0.0	1.0	NaN	NaN	1998.0	79.411765	High	APPROVED
9	198431	07/25/2022	NAWADA-SF	BIHAR	SURAJ	NaN	RAJVANSHI	7258912035	NO	NaN	True	RAMACHANDRA PROJECTS P L NEAR ITI N	109500.0	MCEXA	149668	90000	BAJAJ AUTO INDIA	PULSAR 125 SPLIT SEAT BSVI	SURAJK01253@GMAIL.COM	Single	Male	9061997	25	Self/Spouse Owned	SELF-EMPLOYED	Suraj electric shop govindpur	SELF-EMPLOYED	SURAJ KUMAR	SURAJ RAJVANSHI	OKICICI	SURAJ KUMAR S O BINDA RAJWANSHI	NaN	1.0	0.0	1.0	0.0	1.0	1.0	NaN	NaN	0.0	NaN	1.0	NaN	0.0	0.0	NaN	NaN	1988.0	71.759259	High	APPROVED

	DEALER ID	APPLICATION LOGIN DATE	HDB BRANCH NAME	HDB BRANCH STATE	FIRST NAME	MIDDLE NAME	LAST NAME	mobile	AADHAR VERIFIED	Cibil Score	MOBILE VERIFICATION	DEALER NAME	TOTAL ASSET COST	ASSET CTG	ASSET MODEL NO	APPLIED AMOUNT	PRIMARY ASSET MAKE	Primary Asset Model No	Personal Email Address	MARITAL STATUS	GENDER	DOB	AGE	ADDRESS TYPE	EMPLOY CONSTITUTION	EMPLOYER NAME	EMPLOYER TYPE	Pan Name	name	vpa	upi_name	Phone Social Premium.a23games	Phone Social Premium.amazon	Phone Social Premium.byjus	Phone Social Premium.flipkart	Phone Social Premium.housing	Phone Social Premium.indiamart	Phone Social Premium.instagram	Phone Social Premium.isWABusiness	Phone Social Premium.jeevansaathi	Phone Social Premium.jiomart	Phone Social Premium.microsoft	Phone Social Premium.my11	Phone Social Premium.paytm	Phone Social Premium.rummycircle	Phone Social Premium.shaadi	Phone Social Premium.skype	Phone Social Premium.toi	Phone Social Premium.whatsapp	Phone Social Premium.yatra	Phone Social Premium.zoho	phone_digitalage	phone_nameMatchScore	phone_phoneFootprintStrengthOverall	Application Status
9990	94200	07/07/22	JAIPUR-SF	RAJASTHAN	BIRU	NaN	RAM	8219871676	NO	NaN	True	CHOUDHARY AUTOMOBILES KOTPUTLI	87936.0	MCECA	140208	90000	HERO MOTORS	SPLENDOR PLUS SELF DRUM BSVI I3S	BIRU123@GMAIL.COM	Married	Male	1011994	28	Self/Spouse Owned	SELF-EMPLOYED	biru general Store	SELF-EMPLOYED	BIRU	BIRU RAM	NaN	NaN	NaN	0.0	0.0	NaN	0.0	1.0	NaN	NaN	0.0	NaN	0.0	NaN	1.0	NaN	0.0	0.0	0.0	NaN	NaN	0.0	2758.0	-1.000000	Medium	APPROVED
9991	84315	07/24/2022	HYDERABAD-SF	TELANGANA	SHAIK	NaN	AFZAL	9391101226	NO	713	True	SRI VAISHNAOI AUTOMOBILS IND PL KRI	NaN	NaN	124648	90000	HONDA MOTORS	ACTIVA 125 DISC(BSVI)	SHAIKAFZAL@GMAIL.COM	NaN	Male	9071971	51	NaN	NaN	NaN	NaN	SHAIK AFZAL	SHAIK AFZAL	YBL	Mr SHAIK AFZAL	NaN	0.0	0.0	0.0	0.0	1.0	1.0	NaN	0.0	NaN	0.0	NaN	0.0	NaN	0.0	0.0	1.0	NaN	NaN	0.0	1998.0	100.000000	Medium	APPROVED
9992	112006	07/29/2022	NOIDA-SF	UTTAR PRADESH	IMRAN	NaN	KHAN	8510845233	NO	741	True	DHANSRI MOTOCORP ECOTECH	NaN	NaN	199546	98000	HERO MOTORS	SPLENDOR PLUS XTEC BSVI	NIL@GMAIL.COM	NaN	Male	1011992	30	NaN	NaN	NaN	NaN	IMRAN KHAN	IMRAN KHAN	YBL	IMRAN KHAN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	265.0	100.000000	Low	DECLINED
9993	103733	07/22/2022	DELHI-SF	DELHI	JHAROKHA	NaN	DEVI	7632082837	NO	NaN	True	GD MOTORS PVT LTD TILAK NAGAR	NaN	NaN	160216	99999	SUZUKI MOTORCYCLE	BURGMAN STREET BLUETOOTH BSVI	JHAROKHADEVI86@GMAIL.COM	NaN	Female	1011986	36	NaN	NaN	NaN	NaN	JHAROKHA DEVI	JHAROKHA DEVI	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2396.0	-1.000000	Low	DECLINED
9994	105111	07/28/2022	TEZPUR-SF	ASSAM	RITA	NaN	GHANCHI	8876152320	NO	NaN	True	RUDRA MOTORS LAWKHOWA ROAD	96470.0	SCECA	183086	96471	HERO MOTORS	PLEASURE PLUS XTEC DRUM BSVI	RITA@GMAIL.COM	Married	Female	1011994	28	Self/Spouse Owned	SELF-EMPLOYED	RITA STORE	SELF-EMPLOYED	RITA NAYAK	RITA GHANCHI	NaN	NaN	NaN	0.0	0.0	1.0	0.0	1.0	1.0	NaN	0.0	NaN	0.0	NaN	1.0	NaN	0.0	0.0	0.0	NaN	NaN	0.0	677.0	-1.000000	Medium	APPROVED
9995	105101	07/11/22	FARRUKHABAD-SF	UTTAR PRADESH	AJAY	NaN	NARESH	8400644964	NO	NaN	True	GUPTA AUTO DEALERS BARHPUR	88970.0	MCECA	160832	87000	HERO MOTORS	SPLENDOR+ BLK ACCT SS DRUM I3S BSVI	AJAYDEVSHAKYA@GMAIL.COM	Married	Male	12042000	22	Parental	SALARIED	GROWFAST ORGANIC DIAMAOND PVT LTD	SALARIED	AJAY DEV	AJAY NARESH	OKICICI	AJAY DEV	NaN	1.0	1.0	0.0	0.0	1.0	1.0	NaN	0.0	NaN	1.0	NaN	1.0	NaN	0.0	1.0	1.0	NaN	NaN	0.0	-1.0	60.576923	Medium	APPROVED
9996	85054	07/04/22	BHAGALPUR-SF	BIHAR	SURESH	KUMAR	PRASAD	9708883564	NO	NaN	True	RAMESHWARAM ENTERPRISES DR R P ROAD	120000.0	MCEXA	183085	90000	TVS MOTOR CO	RAIDER 125 DISC BSVI	SURESHWISHKARMA356@GMAIL.COM	Married	Male	2101971	50	Self/Spouse Owned	SELF-EMPLOYED	Raj Ayurved centre	SELF-EMPLOYED	SURESH KUMAR VISHWAKARMA	SURESH KUMAR PRASAD	YBL	MR SURESH KUMAR VISHWAKARMA	NaN	1.0	0.0	1.0	0.0	1.0	0.0	0.0	0.0	NaN	0.0	NaN	1.0	NaN	0.0	0.0	0.0	0.0	NaN	0.0	1998.0	71.078431	High	APPROVED
9997	53710	07/10/22	LUDHIANA-SF	PUNJAB	SANJAY	NaN	AAGAN	9888532016	NO	NaN	True	SHREE DADU AUTOS P L GANDHI NGR	89929.0	SCECA	143240	89000	HONDA MOTORS	ACTIVA 6G DLX BSVI	SANJAY@GMAIL.COM	Married	Male	1011983	39	Rented	SELF-EMPLOYED	Sanjay karyana store	SELF-EMPLOYED	SANJAY AAGAN	SANJAY AAGAN	OKSBI	SANJAY AAGAN SO GOBINDA AAGAN	NaN	0.0	1.0	0.0	0.0	1.0	NaN	0.0	0.0	NaN	0.0	NaN	1.0	NaN	0.0	0.0	0.0	1.0	NaN	0.0	1988.0	100.000000	Medium	APPROVED
9998	89240	07/29/2022	MEERUT-SF	UTTAR PRADESH	SANJAY	NaN	SINGH	8923338426	NO	NaN	True	SHREE SHIV SHAKTI AUTOMOTIVE RORKRD	89340.0	MCECA	160832	85000	HERO MOTORS	SPLENDOR+ BLK ACCT SS DRUM I3S BSVI	NOMAIL@GMAIL.COM	Married	Male	19121970	51	Self/Spouse Owned	SELF-EMPLOYED	SANJAY MILK DARY	SELF-EMPLOYED	SANJAY KUMAR	SANJAY SINGH	NaN	NaN	NaN	0.0	0.0	0.0	0.0	1.0	NaN	NaN	0.0	NaN	0.0	NaN	0.0	NaN	0.0	0.0	0.0	NaN	NaN	0.0	1096.0	-1.000000	Low	APPROVED
9999	109455	07/14/2022	ALIGARH-SF	UTTAR PRADESH	SAMEER	NaN	SALEEM	6396509887	NO	761	True	MASCOT AUTOMOTIVE INDIA P L INDUST	101262.0	MCEXA	129102	85000	HONDA MOTORS	SP 125 DRUM BS VI	SAMEER.KHAN12345@GMAIL.COM	Married	Male	1011997	25	Parental	SALARIED	alana meet factory	SALARIED	SAMEER KHAN	SAMEER SALEEM	OKAXIS	SAMEER KHAN	NaN	1.0	1.0	1.0	0.0	1.0	1.0	0.0	0.0	NaN	0.0	NaN	1.0	NaN	0.0	0.0	0.0	1.0	NaN	0.0	809.0	66.239316	High	APPROVED

Most frequently occurring

	DEALER ID	APPLICATION LOGIN DATE	HDB BRANCH NAME	HDB BRANCH STATE	FIRST NAME	MIDDLE NAME	LAST NAME	mobile	AADHAR VERIFIED	Cibil Score	MOBILE VERIFICATION	DEALER NAME	TOTAL ASSET COST	ASSET CTG	ASSET MODEL NO	APPLIED AMOUNT	PRIMARY ASSET MAKE	Primary Asset Model No	Personal Email Address	MARITAL STATUS	GENDER	DOB	AGE	ADDRESS TYPE	EMPLOY CONSTITUTION	EMPLOYER NAME	EMPLOYER TYPE	Pan Name	name	vpa	upi_name	Phone Social Premium.a23games	Phone Social Premium.amazon	Phone Social Premium.byjus	Phone Social Premium.flipkart	Phone Social Premium.housing	Phone Social Premium.indiamart	Phone Social Premium.instagram	Phone Social Premium.isWABusiness	Phone Social Premium.jeevansaathi	Phone Social Premium.jiomart	Phone Social Premium.microsoft	Phone Social Premium.my11	Phone Social Premium.paytm	Phone Social Premium.rummycircle	Phone Social Premium.shaadi	Phone Social Premium.skype	Phone Social Premium.toi	Phone Social Premium.whatsapp	Phone Social Premium.yatra	Phone Social Premium.zoho	phone_digitalage	phone_nameMatchScore	phone_phoneFootprintStrengthOverall	Application Status	# duplicates
0	85814	07/12/22	LALGANJ-SF	UTTAR PRADESH	FARHAN	NaN	AHMAD	9793879701	NO	NaN	True	HINDUSTAN AUTO MOBILES RETWA	NaN	NaN	139546	95000	TVS MOTOR CO	NTORQ RACE EDITION BSVI	AHMADFARHAN2214@GMAIL.COM	NaN	Male	1011997	25	RESIDENCE	NaN	NaN	NaN	NaN	FARHAN AHMAD	OKHDFCBANK	FARHAN SO JAVED AHMAD	NaN	1.0	0.0	1.0	0.0	1.0	1.0	0.0	0.0	NaN	0.0	NaN	1.0	NaN	1.0	0.0	0.0	1.0	NaN	0.0	486.0	85.714286	High	DECLINED	2
1	87438	07/28/2022	JORHAT-SF	ASSAM	TILOK	NaN	BASFOR	6003587172	NO	734	True	GDCL AGENCIES P L SONARI	NaN	NaN	185293	100000	SUZUKI MOTORCYCLE	AVENIS RACE ED BSVI	NULLI@GMAIL.COM	NaN	Male	2081991	30	NaN	NaN	NaN	NaN	TILOK BASFOR	TILOK BASFOR	OKSBI	Sumit Basfor	NaN	1.0	0.0	1.0	0.0	1.0	1.0	NaN	0.0	NaN	0.0	NaN	1.0	NaN	0.0	0.0	NaN	NaN	NaN	0.0	668.0	63.492063	High	DECLINED	2
2	91583	07/08/22	DELHI SOUTH-SF	DELHI	KRISHNA	NANDAN	KUMAR	9534011151	NO	NaN	True	OM SONS PROJECTS P L ADCHINI	NaN	NaN	129101	99000	HONDA MOTORS	SP 125 DISC BS VI	NULL@GMAIL.COM	NaN	Male	10121993	28	RESIDENCE	NaN	NaN	NaN	KRISHNA NANDAN KUMAR	KRISHNA NANDAN KUMAR	OKHDFCBANK	KRISHNA NANDAN KUMAR	NaN	1.0	0.0	1.0	0.0	1.0	NaN	NaN	0.0	NaN	1.0	NaN	1.0	NaN	0.0	1.0	1.0	NaN	NaN	0.0	2396.0	90.000000	High	DECLINED	2
3	91969	07/04/22	HALDWANI-SF	UTTARAKHAND	MOHD	NaN	RAFAT	9639208194	NO	NaN	True	SHRI BALAJI MOTORS BAREILLY ROAD	NaN	NaN	143240	100000	HONDA MOTORS	ACTIVA 6G DLX BSVI	NULL78@GMAIL.COM	NaN	Male	1011981	41	RESIDENCE	NaN	NaN	NaN	MOHD RAFAT	MOHD RAFAT	OKICICI	MOHD RAFAT	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	281.0	100.000000	Low	DECLINED	2
4	105707	07/31/2022	ROORKEE-SF	UTTARAKHAND	SONU	NaN	KUMAR	7248847715	NO	NaN	True	UP AUTOMOBILES S 23 24 AVAS VIKAS	NaN	NaN	140212	90000	HERO MOTORS	SPLENDOR PLUS SELF START DRUM BSVI	NULL@GMAIL.COM	NaN	Male	25021984	38	NaN	NaN	NaN	NaN	NaN	SONU KUMAR	NaN	NaN	NaN	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	NaN	0.0	NaN	0.0	NaN	0.0	0.0	0.0	1.0	NaN	0.0	-1.0	-1.000000	Low	DECLINED	2
5	107187	07/12/22	DHAMPUR-SF	NaN	ABDUL	NaN	KADIR	6397903454	NO	NaN	True	SAMRAT ENTERPRISES SUGAR MILL	NaN	NaN	133253	106000	SUZUKI MOTORCYCLE	NEW ACCESS 125 DRUM CBS BSVI	KADIR454@GMAIL.COM	NaN	Male	1011998	24	RESIDENCE	NaN	NaN	NaN	-	ABDUL KADIR	NaN	NaN	NaN	0.0	0.0	1.0	0.0	1.0	0.0	NaN	0.0	NaN	0.0	NaN	0.0	NaN	0.0	0.0	0.0	NaN	NaN	0.0	1988.0	-1.000000	Medium	DECLINED	2
6	107519	07/29/2022	LALITPUR-SF	UTTAR PRADESH	RAMJI	NaN	LODHI	9116257288	NO	660	True	SANJAY AUTOMOBILES JHANSI ROAD	NaN	NaN	160892	150000	TVS MOTOR CO	SPORT KICK START SPOKE BSVI	RAMJI@GMAIL.COM	NaN	Male	1011984	38	NaN	NaN	NaN	NaN	RAMJI LODHI	RAMJI LODHI	NaN	NaN	NaN	0.0	0.0	0.0	0.0	1.0	0.0	NaN	0.0	NaN	0.0	NaN	1.0	NaN	0.0	0.0	0.0	NaN	NaN	0.0	2657.0	-1.000000	Medium	DECLINED	2
7	107700	07/31/2022	DELHI-SF	DELHI	SHOBHA	NaN	DEVI	9654941564	NO	712	True	K K AUTOMOBILES TILANG PUR	NaN	NaN	134898	88500	TVS MOTOR CO	JUPITER BSVI	SHOBHA2000@GMAIL.COM	NaN	Female	15072000	22	NaN	NaN	NaN	NaN	SHOBHA DEVI	SHOBHA DEVI	IBL	SHOBHA DEVI	NaN	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	NaN	0.0	NaN	1.0	NaN	0.0	0.0	0.0	1.0	NaN	0.0	1503.0	100.000000	Medium	APPROVED	2
8	110588	07/28/2022	INDAPUR-SF	MAHARASHTRA	SAMBHAJI	TUKARAM	BHONG	9890577452	NO	770	True	SAI MOTORS TEMBHURNI AKLUJ CHOUK	NaN	NaN	149668	99000	BAJAJ AUTO INDIA	PULSAR 125 SPLIT SEAT BSVI	SAGARPGAIKWAD28@GMAIL.COM	NaN	Male	1031973	49	NaN	NaN	NaN	NaN	-	SAMBHAJI TUKARAM BHONG	NaN	NaN	NaN	0.0	0.0	0.0	0.0	1.0	1.0	NaN	0.0	NaN	0.0	NaN	1.0	NaN	0.0	0.0	0.0	NaN	NaN	0.0	4117.0	-1.000000	Medium	DECLINED	2

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)